void pvlOut(Statistics stats1, Statistics stats2, QString name, int start,
int end, PvlObject *one, PvlObject *two) {
PvlGroup left(name);
left += PvlKeyword("StartLine", toString(start + 1));
left += PvlKeyword("EndLine", toString(end));
left += PvlKeyword("TotalPixels", toString(stats1.TotalPixels()));
left += PvlKeyword("ValidPixels", toString(stats1.ValidPixels()));
if(stats1.ValidPixels() > 0) {
left += PvlKeyword("Mean", toString(stats1.Average()));
left += PvlKeyword("StandardDeviation", toString(stats1.StandardDeviation()));
left += PvlKeyword("Minimum", toString(stats1.Minimum()));
left += PvlKeyword("Maximum", toString(stats1.Maximum()));
}
one->addGroup(left);
PvlGroup right(name);
right += PvlKeyword("StartLine", toString(start + 1));
right += PvlKeyword("EndLine", toString(end));
right += PvlKeyword("TotalPixels", toString(stats2.TotalPixels()));
right += PvlKeyword("ValidPixels", toString(stats2.ValidPixels()));
if(stats2.ValidPixels() > 0) {
right += PvlKeyword("Mean", toString(stats2.Average()));
right += PvlKeyword("StandardDeviation", toString(stats2.StandardDeviation()));
right += PvlKeyword("Minimum", toString(stats2.Minimum()));
right += PvlKeyword("Maximum", toString(stats2.Maximum()));
}
two->addGroup(right);
}
// translate the code once it is found
void TranslateCode() {
// read the code from the image
Chip chip(8*RADIUS, 64*RADIUS);
chip.TackCube(codeSample+3*RADIUS, codeLine+31*RADIUS);
chip.Load(cube);
for (int j=0; j<32; j++) {
for (int i=0; i<4; i++) {
Statistics stats;
// Get the average of the subchip
for (int x=1; x<=2*RADIUS; x++) {
for (int y=1; y<=2*RADIUS; y++) {
stats.AddData(chip.GetValue(i*2*RADIUS + x,j*2*RADIUS + y));
}
}
// see if it is on or off
if (stats.Average() > 20000)
code[i][31-j] = true;
else code[i][31-j] = false;
}
}
for (int j=0; j<32; j++) {
for (int i=0; i<4; i++) {
}
}
}
int main() {
Isis::Preference::Preferences(true);
cerr << "GroupedStatistics unitTest!!!\n\n";
// test constructor
cerr << "testing constructor...\n\n";
GroupedStatistics *groupedStats = new GroupedStatistics();
// test AddStatistic
cerr << "testing AddStatistic...\n\n";
groupedStats->AddStatistic("Height", 71.5);
// test copy constructor
cerr << "testing copy constructor...\n\n";
GroupedStatistics *groupedStats2 = new GroupedStatistics(*groupedStats);
// test GetStatistics
cerr << "testing GetStatistics...\n";
Statistics stats = groupedStats2->GetStatistics("Height");
cerr << " " << stats.Average() << "\n\n";
// test GetStatisticTypes
cerr << "testing GetStatisticTypes...\n";
QVector< QString > statTypes = groupedStats->GetStatisticTypes();
for(int i = 0; i < statTypes.size(); i++)
cerr << " " << statTypes[i].toStdString() << "\n";
cerr << "\n";
// test destructor
delete groupedStats;
delete groupedStats2;
return 0;
}
/**
* @brief Compute the initial guess of the fit
*
* This method provides the non-linear fit with an initial guess of the
* solution. It involves a linear fit to the latter half of the data to
* provide the first two coefficents, the difference of the averages of the
* residuals at both ends of the data set and 5 times the last line time as
* the final (fourth) element...a bit involved really.
*
* @return NLVector 4-element vector of the initial guess coefficients
*/
NonLinearLSQ::NLVector DriftCorrect::guess() {
int n = _data.dim();
int nb = n - _badLines;
HiVector b1 = _data.subarray(0, nb-1);
LowPassFilterComp gfilter(b1, _history, _sWidth, _sIters);
int nb2 = nb/2;
_b2 = gfilter.ref();
HiVector cc = poly_fit(_b2.subarray(nb2,_b2.dim()-1), nb2-1);
// Compute the 3rd term guess by getting the average of the residual
// at both ends of the data set.
Statistics s;
// Get the head of the data set
int n0 = MIN(nb, 20);
for ( int k = 0 ; k < n0 ; k++ ) {
double d = _b2[k] - (cc[0] + cc[1] * _timet(k));
s.AddData(&d, 1);
}
double head = s.Average();
// Get the tail of the data set
s.Reset();
n0 = (int) (0.9 * nb);
for ( int l = n0 ; l < nb ; l++ ) {
double d = _b2[l] - (cc[0] + cc[1] * _timet(l));
s.AddData(&d, 1);
}
double tail = s.Average();
// Populate the guess with the results
NLVector g(4, 0.0);
g[0] = cc[0];
g[1] = cc[1];
g[2] = head-tail;
g[3] = -5.0/_timet(nb-1);
_guess = g;
_history.add("Guess["+ToString(_guess[0])+ ","+
ToString(_guess[1])+ ","+
ToString(_guess[2])+ ","+
ToString(_guess[3])+ "]");
return (g);
}
/**
* This method performs pass1 on one image. It analyzes each framelet's
* statistics and populates the necessary global variable.
*
* @param progress Progress message
* @param theCube Current cube that needs processing
*
* @return bool True if the file contains a valid framelet
*/
bool CheckFramelets(string progress, Cube &theCube) {
bool foundValidFramelet = false;
LineManager mgr(theCube);
Progress prog;
prog.SetText(progress);
prog.SetMaximumSteps(theCube.Lines());
prog.CheckStatus();
vector<double> frameletAvgs;
// We need to store off the framelet information, because if no good
// framelets were found then no data should be added to the
// global variable for framelets, just files.
vector< pair<int,double> > excludedFrameletsTmp;
Statistics frameletStats;
for(int line = 1; line <= theCube.Lines(); line++) {
if((line-1) % numFrameLines == 0) {
frameletStats.Reset();
}
mgr.SetLine(line);
theCube.Read(mgr);
frameletStats.AddData(mgr.DoubleBuffer(), mgr.size());
if((line-1) % numFrameLines == numFrameLines-1) {
if(IsSpecial(frameletStats.StandardDeviation()) ||
frameletStats.StandardDeviation() > maxStdev) {
excludedFrameletsTmp.push_back(
pair<int,double>((line-1)/numFrameLines, frameletStats.StandardDeviation())
);
}
else {
foundValidFramelet = true;
}
frameletAvgs.push_back(frameletStats.Average());
}
prog.CheckStatus();
}
inputFrameletAverages.push_back(frameletAvgs);
if(foundValidFramelet) {
for(unsigned int i = 0; i < excludedFrameletsTmp.size(); i++) {
excludedFramelets.insert(pair< pair<int,int>, double>(
pair<int,int>(currImage, excludedFrameletsTmp[i].first),
excludedFrameletsTmp[i].second
)
);
}
}
return foundValidFramelet;
}
void HiImageClean::cimage_dark() {
// Combine calibration region
std::vector<H2DBuf> blobs;
blobs.push_back(_caldark);
blobs.push_back(_ancdark);
H2DBuf dark = appendLines(blobs);
int nsamples(dark.dim2());
int nlines(dark.dim1());
// Compute averages for the mask area
int firstDark(4);
int ndarks(dark.dim2()-firstDark);
_predark = H1DBuf(nlines);
for (int line = 0 ; line < nlines ; line++) {
Statistics darkave;
darkave.AddData(&dark[line][firstDark], ndarks);
_predark[line] = darkave.Average();
}
// Get statistics to determine state of mask and next course of action
_darkStats.Reset();
_darkStats.AddData(&_predark[0], _predark.dim1());
if (_darkStats.ValidPixels() <= 0) {
std::ostringstream mess;
mess << "No valid pixels in calibration/ancillary dark regions, "
<< "binning = " << _binning << std::ends;
throw(iException::Message(iException::Programmer,mess.str(),_FILEINFO_));
}
// Now apply a smoothing filter
QuickFilter smooth(_predark.dim1(), _filterWidth, 1);
smooth.AddLine(&_predark[0]);
nsamples = smooth.Samples();
_dark = H1DBuf(nsamples);
for (int s = 0 ; s < nsamples ; s++) {
_dark[s] = smooth.Average(s);
}
// Now apply to all calibration data
BigInt nbad(0);
_calimg = row_apply(_calimg, _dark, 0, nbad, 1.0);
_calbuf = row_apply(_calbuf, _dark, 0, nbad, 1.0);
_caldark = row_apply(_caldark, _dark, 0, nbad, 1.0);
_ancbuf = row_apply(_ancbuf, _dark, _firstImageLine, nbad, 1.0);
_ancdark = row_apply(_ancdark, _dark, _firstImageLine, nbad, 1.0);
return;
}
void gatherAverages(Buffer &in) {
Statistics lineStats;
lineStats.AddData(in.DoubleBuffer(), in.size());
double average = lineStats.Average();
lineAverages[in.Band() - 1][in.Line() - 1] = average;
// The cube average will finish being calculated before the correction is applied.
if(!IsSpecial(average)) {
cubeAverage[in.Band() - 1] += average;
}
else {
numIgnoredLines ++;
}
}
// Return a PVL group containing the statistical information
PvlGroup PvlStats(Statistics &stats, const QString &name) {
// Construct a label with the results
PvlGroup results(name);
if(stats.ValidPixels() != 0) {
results += PvlKeyword("Average", toString(stats.Average()));
results += PvlKeyword("StandardDeviation", toString(stats.StandardDeviation()));
results += PvlKeyword("Variance", toString(stats.Variance()));
results += PvlKeyword("Minimum", toString(stats.Minimum()));
results += PvlKeyword("Maximum", toString(stats.Maximum()));
}
results += PvlKeyword("TotalPixels", toString(stats.TotalPixels()));
results += PvlKeyword("ValidPixels", toString(stats.ValidPixels()));
results += PvlKeyword("NullPixels", toString(stats.NullPixels()));
results += PvlKeyword("LisPixels", toString(stats.LisPixels()));
results += PvlKeyword("LrsPixels", toString(stats.LrsPixels()));
results += PvlKeyword("HisPixels", toString(stats.HisPixels()));
results += PvlKeyword("HrsPixels", toString(stats.HrsPixels()));
return results;
}
void IsisMain() {
Preference::Preferences(true);
ProcessImportVicar p;
Pvl vlab;
p.SetVicarFile("unitTest.img", vlab);
p.SetOutputCube("TO");
p.StartProcess();
p.EndProcess();
cout << vlab << endl;
Process p2;
CubeAttributeInput att;
QString file = Application::GetUserInterface().GetFileName("TO");
Cube *icube = p2.SetInputCube(file, att);
Statistics *stat = icube->statistics();
cout << stat->Average() << endl;
cout << stat->Variance() << endl;
p2.EndProcess();
QFile::remove(file);
}
//**********************************************************
// DOUSER - Get statistics on a column or row of pixels
//**********************************************************
void getStats(Buffer &in) {
Statistics stats;
stats.AddData(in.DoubleBuffer(), in.size());
band.push_back(in.Band());
element.push_back(in.Sample());
// Sort the input buffer
vector<double> pixels;
for(int i = 0; i < in.size(); i++) {
if(IsValidPixel(in[i])) pixels.push_back(in[i]);
}
sort(pixels.begin(), pixels.end());
// Now obtain the median value and store in the median vector
int size = pixels.size();
if(size != 0) {
int med = size / 2;
if(size % 2 == 0) {
median.push_back((pixels[med-1] + pixels[med]) / 2.0);
}
else {
median.push_back(pixels[med]);
}
}
else {
median.push_back(Isis::Null);
}
// Store the statistics in the appropriate vectors
average.push_back(stats.Average());
stddev.push_back(stats.StandardDeviation());
validpixels.push_back(stats.ValidPixels());
minimum.push_back(stats.Minimum());
maximum.push_back(stats.Maximum());
}
//function to write the stats values to flat file
void writeFlat (ofstream &os, Statistics &s){
os << ValidateValue(s.Minimum())<<","<<
ValidateValue(s.Maximum())<<","<<
ValidateValue(s.Average())<<","<<
ValidateValue(s.StandardDeviation())<<",";
}
void HiImageClean::cimage_mask() {
// Combine calibration region
std::vector<H2DBuf> blobs;
blobs.push_back(_calbuf);
blobs.push_back(_calimg);
blobs.push_back(_caldark);
H2DBuf calibration = appendSamples(blobs);
// Set the mask depending on the binning mode
_firstMaskLine = 20;
_lastMaskLine = 39;
switch (_binning) {
case 1:
_firstMaskLine = 21;
_lastMaskLine = 38;
break;
case 2:
_firstMaskLine = 21;
_lastMaskLine = 29;
break;
case 3:
_firstMaskLine = 21;
_lastMaskLine = 26;
break;
case 4:
_firstMaskLine = 21;
_lastMaskLine = 24;
break;
case 8:
_firstMaskLine = 21;
_lastMaskLine = 22;
break;
case 16:
_firstMaskLine = 21;
_lastMaskLine = 21;
break;
default:
std::ostringstream msg;
msg << "Invalid binning mode (" << _binning
<< ") - valid are 1-4, 8 and 16" << std::ends;
throw(iException::Message(iException::Programmer,msg.str(),_FILEINFO_));
}
// Initialize lines and samples of mask area of interest
int nsamples(calibration.dim2());
int nlines(_lastMaskLine - _firstMaskLine + 1);
// Compute averages for the mask area
_premask = H1DBuf(nsamples);
for (int samp = 0 ; samp < nsamples; samp++) {
H1DBuf maskcol = slice(calibration, samp);
Statistics maskave;
maskave.AddData(&maskcol[_firstMaskLine], nlines);
_premask[samp] = maskave.Average();
}
_mask = _premask.copy();
// Get statistics to determine state of mask and next course of action
_maskStats.Reset();
_maskStats.AddData(&_premask[0], nsamples);
if (_maskStats.ValidPixels() <= 0) {
std::ostringstream mess;
mess << "No valid pixels in calibration mask region in lines "
<< (_firstMaskLine+1) << " to " << (_lastMaskLine+1) << ", binning = "
<< _binning << std::ends;
throw(iException::Message(iException::Programmer,mess.str(),_FILEINFO_));
}
// If there are any missing values, replace with mins/maxs of region
if (_maskStats.TotalPixels() != _maskStats.ValidPixels()) {
for (int samp = 0 ; samp < nsamples ; samp++) {
if (Pixel::IsLow(_premask[samp]) || Pixel::IsNull(_premask[samp])) {
_mask[samp] = _maskStats.Minimum();
}
else if (Pixel::IsHigh(_premask[samp])) {
_mask[samp] = _maskStats.Maximum();
}
}
}
// Now apply to all calibration data
BigInt nbad(0);
_calimg = column_apply(_calimg, _mask, _firstImageSample, nbad, 1.0);
_calbuf = column_apply(_calbuf, _mask, _firstBufferSample, nbad, 1.0);
_caldark = column_apply(_caldark, _mask, _firstDarkSample, nbad, 1.0);
_ancbuf = column_apply(_ancbuf, _mask, _firstBufferSample, nbad, 1.0);
_ancdark = column_apply(_ancdark, _mask, _firstDarkSample, nbad, 1.0);
return;
}
/**
* This calculates the coefficients for specific energy corrections
*/
void calculateSpecificEnergy(Cube *icube) {
PvlGroup &inst = icube->label()->findGroup("Instrument", Pvl::Traverse);
bool vis = (inst["Channel"][0] != "IR");
double coefficient = 1.0;
if(inst["GainMode"][0] == "HIGH") {
coefficient /= 2;
}
if(vis && inst["SamplingMode"][0] == "HI-RES") {
coefficient *= 3;
}
if(vis) {
coefficient /= toDouble(inst["ExposureDuration"][1]) / 1000.0;
}
else {
coefficient /= (toDouble(inst["ExposureDuration"][0]) * 1.01725) / 1000.0 - 0.004;
}
QString specEnergyFile = "$cassini/calibration/vims/";
if(vis) {
specEnergyFile += "vis_perf_v????.cub";
}
else {
specEnergyFile += "ir_perf_v????.cub";
}
QString waveCalFile = "$cassini/calibration/vims/wavecal_v????.cub";
FileName specEnergyFileName(specEnergyFile);
specEnergyFileName = specEnergyFileName.highestVersion();
FileName waveCalFileName(waveCalFile);
waveCalFileName = waveCalFileName.highestVersion();
Cube specEnergyCube;
specEnergyCube.open(specEnergyFileName.expanded());
Cube waveCalCube;
waveCalCube.open(waveCalFileName.expanded());
LineManager specEnergyMgr(specEnergyCube);
LineManager waveCalMgr(waveCalCube);
for(int i = 0; i < icube->bandCount(); i++) {
Statistics specEnergyStats;
Statistics waveCalStats;
if(vis) {
specEnergyMgr.SetLine(1, i + 1);
waveCalMgr.SetLine(1, i + 1);
}
else {
specEnergyMgr.SetLine(1, i + 1);
// ir starts at band 97
waveCalMgr.SetLine(1, i + 96 + 1);
}
specEnergyCube.read(specEnergyMgr);
waveCalCube.read(waveCalMgr);
specEnergyStats.AddData(specEnergyMgr.DoubleBuffer(), specEnergyMgr.size());
waveCalStats.AddData(waveCalMgr.DoubleBuffer(), waveCalMgr.size());
double bandCoefficient = coefficient * specEnergyStats.Average() * waveCalStats.Average();
specificEnergyCorrections.push_back(bandCoefficient);
}
}
// Main Program
void IsisMain() {
UserInterface &ui = Application::GetUserInterface();
Isis::FileName fromFile = ui.GetFileName("FROM");
Isis::Cube inputCube;
inputCube.open(fromFile.expanded());
//Check to make sure we got the cube properly
if(!inputCube.isOpen()) {
QString msg = "Could not open FROM cube" + fromFile.expanded();
throw IException(IException::User, msg, _FILEINFO_);
}
ProcessByLine processByLine;
Cube *icube = processByLine.SetInputCube("FROM");
int totalSamples = icube->sampleCount();
//We'll be going through the cube by line, manually differentiating
// between phases
Isis::LineManager lineManager(inputCube);
lineManager.begin();
Table hifix("HiRISE Ancillary");
int channel = icube->group("Instrument")["ChannelNumber"];
if(channel == 0) {
phases = channel0Phases;
}
else {
phases = channel1Phases;
}
int binning_mode = icube->group("Instrument")["Summing"];
if(binning_mode != 1 && binning_mode != 2) {
/*IString msg = "You may only use input with binning mode 1 or 2, not";
msg += binning_mode;
throw iException::Message(iException::User, msg, _FILEINFO_);*/
DestripeForOtherBinningModes(totalSamples);
}
else {
//Adjust phase breaks based on the binning mode
for(int i = 0 ; i < num_phases ; i++) {
phases[i] /= binning_mode;
}
//Phases must be able to stretch across the entire cube
if(totalSamples != phases[3]) {
QString required_samples(phases[3]);
QString bin_QString(binning_mode);
QString msg = "image must have exactly ";
msg += required_samples;
msg += " samples per line for binning mode ";
msg += bin_QString;
throw IException(IException::User, msg, _FILEINFO_);
}
//Index starts at 1 and will go up to totalLines. This must be done since
// lines go into different statistics vectors based on their index
myIndex = 1;
processByLine.StartProcess(getStats);
//This program is trying to find horizontal striping in the image that occurs
// in every other line, but at runtime we do not know whether that striping
// occurs on the odd numbered lines (1, 3, 5, etc.) or the even numbered
// ones (2, 4, 6, etc.). The below algorithm determines which of these is the
// case.
QString parity = ui.GetString("PARITY");
if(parity == "EVEN") {
offset = 1;
}
else if(parity == "ODD") {
offset = 0;
}
else {
//PRECONDITION: getStats must have been run
long double maxDiff = 0;
int maxDiffIndex = 0;
for(int i = 0 ; i < num_phases ; i++) {
long double thisDiff;
thisDiff = lineStats[i].Average() - stats.Average();
if(thisDiff < 0) {
thisDiff *= -1;
}
if(thisDiff > maxDiff) {
maxDiff = thisDiff;
maxDiffIndex = i;
}
}
if(maxDiffIndex == 1 || maxDiffIndex == 3) {
offset = 1;
}
else {
offset = 0;
}
}
//Again we must reset the index, because we apply corrections only on every
// other line and the fix processing function has no concept of where it is
// in the cube.
myIndex = 1;
mode = (ui.GetString("CORRECTION") == "MULTIPLY");
processByLine.SetOutputCube("TO");
processByLine.StartProcess(fix);
processByLine.EndProcess();
}
}
/**
* This method is the pass 2 processing routine. A ProcessByBrick
* will call this method for sets of data (depending on the camera
* type) and this method is responsible for writing the entire output
* temporary cube.
*
* @param in Input raw image data, not including excluded files
*/
void CreateTemporaryData(Buffer &in) {
/**
* Line scan cameras process by frame columns.
*/
if(cameraType == LineScan) {
// The statistics of every column of data need to be known
// before we can write to the temp file. Gather stats for this
// column.
Statistics inputColStats;
for(int i = 0; i < in.size(); i++) {
inputColStats.AddData(in[i]);
// We'll also need the stats for the entire frame in order to
// normalize and in order to decide whether or not we want
// to toss out the frame
inputFrameStats.AddData(in[i]);
}
// Store off the column stats
outputTmpAverages[in.Sample()-1] = inputColStats.Average();
outputTmpCounts[in.Sample()-1] = inputColStats.ValidPixels();
// Test if this is the last column and we've got all of our stats
if(in.Sample() == numOutputSamples) {
// Decide if we want this data
if(IsSpecial(inputFrameStats.StandardDeviation()) ||
inputFrameStats.StandardDeviation() > maxStdev) {
// We don't want this data...
// CreateNullData is a helper method for this case that
// nulls out the stats
CreateNullData();
// Record the exclusion
PvlGroup currExclusion("ExcludedLines");
currExclusion += PvlKeyword("FrameStartLine", iString(in.Line()));
currExclusion += PvlKeyword("ValidPixels", iString(inputFrameStats.ValidPixels()));
if(!IsSpecial(inputFrameStats.StandardDeviation()))
currExclusion += PvlKeyword("StandardDeviation", inputFrameStats.StandardDeviation());
else
currExclusion += PvlKeyword("StandardDeviation", "N/A");
excludedDetails[excludedDetails.size()-1].AddGroup(currExclusion);
}
// Let's write our data... CreateNullData took care of nulls for us
// Band 1 is our normalized average
oLineMgr->SetLine(oLineMgr->Line(),1);
for(int i = 0; i < (int)outputTmpAverages.size(); i++) {
if(!IsSpecial(outputTmpAverages[i])) {
(*oLineMgr)[i] = outputTmpAverages[i] / inputFrameStats.Average();
}
else {
(*oLineMgr)[i] = Isis::Null;
}
}
ocube->Write(*oLineMgr);
oLineMgr->SetLine(oLineMgr->Line(),2);
// band 2 is our valid dn counts
for(int i = 0; i < (int)outputTmpCounts.size(); i++) {
(*oLineMgr)[i] = outputTmpCounts[i];
numInputDns[i] += (int)(outputTmpCounts[i] + 0.5);
}
ocube->Write(*oLineMgr);
(*oLineMgr) ++;
inputFrameStats.Reset();
}
}
else if(cameraType == Framing || cameraType == PushFrame) {
// Framing cameras and push frames are treated identically;
// the framelet size for a framelet in the framing camera
// is the entire image!
int framelet = (in.Line()-1) / numFrameLines;
double stdev;
bool excluded = Excluded(currImage, framelet, stdev);
if(excluded && ((in.Line()-1) % numFrameLines == 0)) {
PvlGroup currExclusion("ExcludedFramelet");
currExclusion += PvlKeyword("FrameletStartLine", iString(in.Line()));
currExclusion += PvlKeyword("FrameletNumber", (in.Line()-1) / numFrameLines);
if(!IsSpecial(stdev)) {
currExclusion += PvlKeyword("StandardDeviation",
stdev);
}
else {
currExclusion += PvlKeyword("StandardDeviation",
"N/A");
}
excludedDetails[excludedDetails.size()-1].AddGroup(currExclusion);
}
// Since this is a line by line iterative process, we need to get the current
// data in the temp file
oLineMgr->SetLine(((in.Line() - 1) % numFrameLines) + 1, 1);
if(!excluded || !cubeInitialized) {
ocube->Read(*oLineMgr);
}
if(!cubeInitialized) {
for(int i = 0; i < oLineMgr->size(); i++) {
(*oLineMgr)[i] = Isis::Null;
}
}
vector<bool> isValidData;
if(!excluded || !cubeInitialized) {
isValidData.resize(in.size());
for(int samp = 0; samp < in.size(); samp++) {
if(IsSpecial((*oLineMgr)[samp]) && !IsSpecial(in[samp])) {
(*oLineMgr)[samp] = 0.0;
}
if(!IsSpecial(in[samp])) {
isValidData[samp] = true;
(*oLineMgr)[samp] += in[samp] / inputFrameletAverages[currImage][framelet];
}
else {
isValidData[samp] = false;
}
}
}
if(!excluded || !cubeInitialized) {
ocube->Write(*oLineMgr);
}
oLineMgr->SetLine(oLineMgr->Line(), 2);
if(!excluded || !cubeInitialized) {
ocube->Read(*oLineMgr);
}
if(!cubeInitialized) {
for(int i = 0; i < oLineMgr->size(); i++) {
(*oLineMgr)[i] = Isis::Null;
}
if(ocube->Lines() == oLineMgr->Line())
cubeInitialized = true;
}
if(!excluded || !cubeInitialized) {
for(int i = 0; i < (int)isValidData.size(); i++) {
if(IsSpecial((*oLineMgr)[i])) {
(*oLineMgr)[i] = 0.0;
}
if(isValidData[i]) {
(*oLineMgr)[i] ++;
}
}
}
if(!excluded || !cubeInitialized) {
ocube->Write(*oLineMgr);
}
}
}
/** The ISIS smtk main application */
void IsisMain() {
UserInterface &ui = Application::GetUserInterface();
// Open the first cube. It is the left hand image.
Cube lhImage;
CubeAttributeInput &attLeft = ui.GetInputAttribute("FROM");
vector<QString> bandLeft = attLeft.bands();
lhImage.setVirtualBands(bandLeft);
lhImage.open(ui.GetFileName("FROM"),"r");
// Open the second cube, it is geomertricallty altered. We will be matching the
// first to this one by attempting to compute a sample/line offsets
Cube rhImage;
CubeAttributeInput &attRight = ui.GetInputAttribute("MATCH");
vector<QString> bandRight = attRight.bands();
rhImage.setVirtualBands(bandRight);
rhImage.open(ui.GetFileName("MATCH"),"r");
// Ensure only single bands
if (lhImage.bandCount() != 1 || rhImage.bandCount() != 1) {
QString msg = "Input Cubes must have only one band!";
throw IException(IException::User,msg,_FILEINFO_);
}
// Both images must have a Camera and can also have a Projection. We will
// only deal with a Camera, however as a projected, non-mosaicked image
// uses a Projection internal to the Camera object.
Camera *lhCamera = NULL;
Camera *rhCamera = NULL;
try {
lhCamera = lhImage.camera();
rhCamera = rhImage.camera();
}
catch (IException &ie) {
QString msg = "Both input images must have a camera";
throw IException(ie, IException::User, msg, _FILEINFO_);
}
// Since we are generating a DEM, we must turn off any existing
// DEM that may have been initialized with spiceinit.
lhCamera->IgnoreElevationModel(true);
rhCamera->IgnoreElevationModel(true);
// Get serial number
QString serialLeft = SerialNumber::Compose(lhImage, true);
QString serialRight = SerialNumber::Compose(rhImage, true);
// This still precludes band to band registrations.
if (serialLeft == serialRight) {
QString sLeft = FileName(lhImage.fileName()).name();
QString sRight = FileName(rhImage.fileName()).name();
if (sLeft == sRight) {
QString msg = "Cube Serial Numbers must be unique - FROM=" + serialLeft +
", MATCH=" + serialRight;
throw IException(IException::User,msg,_FILEINFO_);
}
serialLeft = sLeft;
serialRight = sRight;
}
Progress prog;
prog.SetText("Finding Initial Seeds");
int nl = lhImage.lineCount();
int ns = lhImage.sampleCount();
BigInt numAttemptedInitialPoints = 0;
// Declare Gruen matcher
SmtkMatcher matcher(ui.GetFileName("REGDEF"), &lhImage, &rhImage);
// Get line/sample linc/sinc parameters
int space = ui.GetInteger("SPACE");
int linc (space), sinc(space);
// Do we have a seed points from a control net file?
bool useseed = ui.WasEntered("CNET");
// Base points on an input cnet
SmtkQStack gstack;
double lastEigen(0.0);
if (useseed) {
ControlNet cnet(ui.GetFileName("CNET"));
prog.SetMaximumSteps(cnet.GetNumPoints());
prog.CheckStatus();
gstack.reserve(cnet.GetNumPoints());
for (int cpIndex = 0; cpIndex < cnet.GetNumPoints(); cpIndex ++) {
ControlPoint *cp = cnet.GetPoint(cpIndex);
if (!cp->IsIgnored()) {
ControlMeasure *cmLeft(0), *cmRight(0);
for(int cmIndex = 0; cmIndex < cp->GetNumMeasures(); cmIndex ++) {
ControlMeasure *cm = cp->GetMeasure(cmIndex);
if (!cm->IsIgnored()) {
if (cm->GetCubeSerialNumber() == serialLeft)
cmLeft = cp->GetMeasure(cmIndex);
if (cm->GetCubeSerialNumber() == serialRight)
cmRight = cp->GetMeasure(cmIndex);
}
}
// If we have both left and right images in the control point, save it
if ( (cmLeft != 0) && (cmRight != 0) ) {
Coordinate left = Coordinate(cmLeft->GetLine(), cmLeft->GetSample());
Coordinate right = Coordinate(cmRight->GetLine(), cmRight->GetSample());
SmtkPoint spnt = matcher.Create(left, right);
// Insert the point (unregistered)
if ( spnt.isValid() ) {
int line = (int) cmLeft->GetLine();
int samp = (int) cmLeft->GetSample();
matcher.isValid(spnt);
gstack.insert(qMakePair(line, samp), spnt);
lastEigen = spnt.GoodnessOfFit();
}
}
}
prog.CheckStatus();
}
}
else {
// We want to create a grid of control points that is N rows by M columns.
int rows = (lhImage.lineCount() + linc - 1)/linc;
int cols = (lhImage.sampleCount() + sinc - 1)/sinc;
prog.SetMaximumSteps(rows * cols);
prog.CheckStatus();
// First pass stack and eigen value statistics
SmtkQStack fpass;
fpass.reserve(rows * cols);
Statistics temp_mev;
// Loop through grid of points and get statistics to compute
// initial set of points
for (int line = linc / 2 + 1; line < nl; line += linc) {
for (int samp = sinc / 2 + 1 ; samp < ns; samp += sinc) {
numAttemptedInitialPoints ++;
SmtkPoint spnt = matcher.Register(Coordinate(line,samp));
if ( spnt.isValid() ) {
matcher.isValid(spnt);
fpass.insert(qMakePair(line, samp), spnt);
temp_mev.AddData(spnt.GoodnessOfFit());
}
prog.CheckStatus();
}
}
// Now select a subset of fpass points as the seed points
cout << "Number of Potential Seed Points: " << fpass.size() << "\n";
cout << "Min / Max Eigenvalues Matched: " << temp_mev.Minimum() << ", "
<< temp_mev.Maximum() << "\n";
// How many seed points are requested
double nseed = ui.GetDouble("NSEED");
int inseed;
if (nseed >= 1.0) inseed = (int) nseed;
else if (nseed > 0.0) inseed = (int) (nseed * (double) (fpass.size()));
else inseed = (int) ((double) (fpass.size()) * 0.05);
double seedsample = ui.GetDouble("SEEDSAMPLE");
// Generate a new stack
gstack.reserve(inseed);
while ((gstack.size() < inseed) && (!fpass.isEmpty() )) {
SmtkQStack::iterator bestm;
if (seedsample <= 0.0) {
bestm = matcher.FindSmallestEV(fpass);
}
else {
bestm = matcher.FindExpDistEV(fpass, seedsample, temp_mev.Minimum(),
temp_mev.Maximum());
}
// Add point to stack
if (bestm != fpass.end()) {
Coordinate right = bestm.value().getRight();
matcher.isValid(bestm.value());
gstack.insert(bestm.key(), bestm.value());
lastEigen = bestm.value().GoodnessOfFit();
fpass.erase(bestm);
}
}
// If a user wants to see the seed network, write it out here
if (ui.WasEntered("OSEEDNET")) {
WriteCnet(ui.GetFileName("OSEEDNET"), gstack,
lhCamera->target()->name(), serialLeft, serialRight);
}
}
///////////////////////////////////////////////////////////////////////
// All done with seed points. Sanity check ensures we actually found
// some.
///////////////////////////////////////////////////////////////////////
if (gstack.size() <= 0) {
QString msg = "No seed points found - may need to check Gruen parameters.";
throw IException(IException::User, msg, _FILEINFO_);
}
// Report seed point status
if (!useseed) {
cout << "Number of Seed Points used: " << gstack.size() << "\n";
cout << "EV of last Seed Point: " << lastEigen << "\n";
}
else {
cout << "Number of Manual Seed Points: " << gstack.size() << "\n";
}
// Use seed points (in stack) to grow
SmtkQStack bmf;
bmf.reserve(gstack.size()); // Probably need much more but for starters...
BigInt numOrigPoints = gstack.size();
BigInt passpix2 = 0;
int subcbox = ui.GetInteger("SUBCBOX");
int halfBox((subcbox-1)/2);
while (!gstack.isEmpty()) {
SmtkQStackIter cstack = matcher.FindSmallestEV(gstack);
// Print number on stack
if ((gstack.size() % 1000) == 0) {
cout << "Number on Stack: " << gstack.size()
<< ". " << cstack.value().GoodnessOfFit() << "\n";
}
// Test to see if already determined
SmtkQStackIter bmfPt = bmf.find(cstack.key());
if (bmfPt == bmf.end()) {
// Its not in the final stack, process it
// Retrieve the point
SmtkPoint spnt = cstack.value();
// Register if its not already registered
if (!spnt.isRegistered()) {
spnt = matcher.Register(spnt, spnt.getAffine());
}
// Still must check for validity if the point was just registered,
// otherwise should be good
if ( spnt.isValid() ) {
passpix2++;
bmf.insert(cstack.key(), spnt); // inserts (0,0) offset excluded below
int line = cstack.key().first;
int sample = cstack.key().second;
// Determine match points
double eigen(spnt.GoodnessOfFit());
for (int sampBox = -halfBox ; sampBox <= halfBox ; sampBox++ ) {
int csamp = sample + sampBox;
for (int lineBox = -halfBox ; lineBox <= halfBox ; lineBox++) {
int cline = line + lineBox;
if ( !( (sampBox == 0) && (lineBox == 0)) ) {// Already added above
SmtkQPair dupPair(cline, csamp);
SmtkQStackIter temp = bmf.find(dupPair);
SmtkPoint bmfpnt;
if (temp != bmf.end()) {
if (temp.value().GoodnessOfFit() > eigen) {
// Create cloned point with better fit
bmfpnt = matcher.Clone(spnt, Coordinate(cline,csamp));
}
}
else { // ISIS2 is BMF(SAMP,LINE,7) .EQ VALID_MAX4)
// Clone new point for insert
bmfpnt = matcher.Clone(spnt, Coordinate(cline,csamp));
}
// Add if good point
if (bmfpnt.isValid()) {
bmf.insert(dupPair, bmfpnt);
}
}
}
}
// Grow stack with spacing adding info to stack
for (int i = -1 ; i <= 1 ; i ++) { // Sample
for (int j = -1 ; j <= 1 ; j ++) { // Line
// Don't re-add the original sample, line
if ( !((i == 0) && (j == 0)) ) {
// Grow based upon spacing
double ssamp = sample + (i * space);
double sline = line + (j * space);
Coordinate pnt = Coordinate(sline, ssamp);
SmtkPoint gpnt = matcher.Clone(spnt, pnt);
if ( gpnt.isValid() ) {
SmtkQPair growpt((int) sline, (int) ssamp);
// double check we don't have a finalized result at this position
SmtkQStackIter temp = bmf.find(growpt);
if(temp == bmf.end()) {
gstack.insert(growpt, gpnt);
}
}
}
}
}
}
}
// Remove the current point from the grow stack (hole)
gstack.erase(cstack);
}
/////////////////////////////////////////////////////////////////////////
// All done with creating points. Perform output options.
/////////////////////////////////////////////////////////////////////////
// If a TO parameter was specified, create DEM with errors
if (ui.WasEntered("TO")) {
// Create the output DEM
cout << "\nCreating output DEM from " << bmf.size() << " points.\n";
Process p;
Cube *icube = p.SetInputCube("FROM");
Cube *ocube = p.SetOutputCube("TO", icube->sampleCount(),
icube->lineCount(), 3);
p.ClearInputCubes();
int boxsize = ui.GetInteger("BOXSIZE");
double plotdist = ui.GetDouble("PLOTDIST");
TileManager dem(*ocube), eigen(*ocube), stErr(*ocube);
dem.SetTile(1, 1); // DEM Data/elevation
stErr.SetTile(1, 2); // Error in stereo computation
eigen.SetTile(1, 3); // Eigenvalue of the solution
int nBTiles(eigen.Tiles()/3); // Total tiles / 3 bands
prog.SetText("Creating DEM");
prog.SetMaximumSteps(nBTiles);
prog.CheckStatus();
Statistics stAng;
while ( !eigen.end() ) { // Must use the last band for this!!
PointPlot tm = for_each(bmf.begin(), bmf.end(), PointPlot(dem, plotdist));
tm.FillPoints(*lhCamera, *rhCamera, boxsize, dem, stErr, eigen, &stAng);
ocube->write(dem);
ocube->write(stErr);
ocube->write(eigen);
dem.next();
stErr.next();
eigen.next();
prog.CheckStatus();
}
// Report Stereo separation angles
PvlGroup stresultsPvl("StereoSeparationAngle");
stresultsPvl += PvlKeyword("Minimum", toString(stAng.Minimum()), "deg");
stresultsPvl += PvlKeyword("Average", toString(stAng.Average()), "deg");
stresultsPvl += PvlKeyword("Maximum", toString(stAng.Maximum()), "deg");
stresultsPvl += PvlKeyword("StandardDeviation", toString(stAng.StandardDeviation()), "deg");
Application::Log(stresultsPvl);
// Update the label with BandBin keywords
PvlKeyword filter("FilterName", "Elevation", "meters");
filter.addValue("ElevationError", "meters");
filter.addValue("GoodnessOfFit", "unitless");
PvlKeyword center("Center", "1.0");
center.addValue("1.0");
center.addValue("1.0");
PvlGroup &bandbin = ocube->label()->findGroup("BandBin", PvlObject::Traverse);
bandbin.addKeyword(filter, PvlContainer::Replace);
bandbin.addKeyword(center, PvlContainer::Replace);
center.setName("Width");
bandbin.addKeyword(center, PvlContainer::Replace);
p.EndProcess();
}
// If a cnet file was entered, write the ControlNet pvl to the file
if (ui.WasEntered("ONET")) {
WriteCnet(ui.GetFileName("ONET"), bmf, lhCamera->target()->name(), serialLeft,
serialRight);
}
// Create output data
PvlGroup totalPointsPvl("Totals");
totalPointsPvl += PvlKeyword("AttemptedPoints", toString(numAttemptedInitialPoints));
totalPointsPvl += PvlKeyword("InitialSuccesses", toString(numOrigPoints));
totalPointsPvl += PvlKeyword("GrowSuccesses", toString(passpix2));
totalPointsPvl += PvlKeyword("ResultingPoints", toString(bmf.size()));
Application::Log(totalPointsPvl);
Pvl arPvl = matcher.RegistrationStatistics();
PvlGroup smtkresultsPvl("SmtkResults");
smtkresultsPvl += PvlKeyword("SpiceOffImage", toString(matcher.OffImageErrorCount()));
smtkresultsPvl += PvlKeyword("SpiceDistanceError", toString(matcher.SpiceErrorCount()));
arPvl.addGroup(smtkresultsPvl);
for(int i = 0; i < arPvl.groups(); i++) {
Application::Log(arPvl.group(i));
}
// add the auto registration information to print.prt
PvlGroup autoRegTemplate = matcher.RegTemplate();
Application::Log(autoRegTemplate);
// Don't need the cubes opened anymore
lhImage.close();
rhImage.close();
}
/**
* This is the main method. Makeflat runs in three steps:
*
* 1) Calculate statistics
* - For all cameras, this checks for one band and matching
* sample counts.
* - For framing cameras, this checks the standard deviation of
* the images and records the averages of each image
* - For push frame cameras, this calls CheckFramelets for each
* image.
*
* 2) Create the temporary file, collect more detailed statistics
* - For all cameras, this generates the temporary file and calculates
* the final exclusion list
* - For framing/push frame cameras, the temporary file is
* 2 bands, where the first is a sum of DNs from each image/framelet
* and the second band is a count of valid DNs that went into each sum
*
* 3) Create the final flat field file
* - For all cameras, this processes the temporary file to create the final flat
* field file.
*/
void IsisMain() {
// Initialize variables
ResetGlobals();
UserInterface &ui = Application::GetUserInterface();
maxStdev = ui.GetDouble("STDEVTOL");
if(ui.GetString("IMAGETYPE") == "FRAMING") {
cameraType = Framing;
// framing cameras need to figure this out automatically
// during step 1
numFrameLines = -1;
}
else if(ui.GetString("IMAGETYPE") == "LINESCAN") {
cameraType = LineScan;
numFrameLines = ui.GetInteger("NUMLINES");
}
else {
cameraType = PushFrame;
numFrameLines = ui.GetInteger("FRAMELETHEIGHT");
}
FileList inList(ui.GetFilename("FROMLIST"));
Progress progress;
tempFileLength = 0;
numOutputSamples = 0;
/**
* Line scan progress is based on the input list, whereas
* the other cameras take much longer and are based on the
* images themselves. Prepare the progress if we're doing
* line scan.
*/
if(cameraType == LineScan) {
progress.SetText("Calculating Number of Image Lines");
progress.SetMaximumSteps(inList.size());
progress.CheckStatus();
}
/**
* For a push frame camera, the temp file is one framelet.
* Technically this is the same for the framing, but we
* don't know the height of a framelet yet.
*/
if(cameraType == PushFrame) {
tempFileLength = numFrameLines;
}
/**
* Start pass 1, use global currImage so that methods called
* know the image we're processing.
*/
for(currImage = 0; currImage < inList.size(); currImage++) {
/**
* Read the current cube into memory
*/
Cube tmp;
tmp.Open(Filename(inList[currImage]).Expanded());
/**
* If we haven't determined how many samples the output
* should have, we can do so now
*/
if(numOutputSamples == 0 && tmp.Bands() == 1) {
numOutputSamples = tmp.Samples();
}
/**
* Try and validate the image, quick tests first!
*
* (imageValid &= means imageValid = imageValid && ...)
*/
bool imageValid = true;
// Only single band images are acceptable
imageValid &= (tmp.Bands() == 1);
// Sample sizes must always match
imageValid &= (numOutputSamples == tmp.Samples());
// For push frame cameras, there must be valid all framelets
if(cameraType == PushFrame) {
imageValid &= (tmp.Lines() % numFrameLines == 0);
}
// For framing cameras, we need to figure out the size...
// setTempFileLength is used to revert if the file
// is decided to be invalid
bool setTempFileLength = false;
if(cameraType == Framing) {
if(tempFileLength == 0 && imageValid) {
tempFileLength = tmp.Lines();
numFrameLines = tempFileLength;
setTempFileLength = true;
}
imageValid &= (tempFileLength == tmp.Lines());
}
// Statistics are necessary at this point for push frame and framing cameras
// because the framing camera standard deviation tolerance is based on
// entire images, and push frame framelet exclusion stats can not be collected
// during pass 2 cleanly
if((cameraType == Framing || cameraType == PushFrame) && imageValid) {
string prog = "Calculating Standard Deviation " + iString((int)currImage+1) + "/";
prog += iString((int)inList.size()) + " (" + Filename(inList[currImage]).Name() + ")";
if(cameraType == Framing) {
Statistics *stats = tmp.Statistics(1, prog);
imageValid &= !IsSpecial(stats->StandardDeviation());
imageValid &= !IsSpecial(stats->Average());
imageValid &= stats->StandardDeviation() <= maxStdev;
vector<double> fileStats;
fileStats.push_back(stats->Average());
inputFrameletAverages.push_back(fileStats);
delete stats;
}
else if(cameraType == PushFrame) {
imageValid &= CheckFramelets(prog, tmp);
}
if(setTempFileLength && !imageValid) {
tempFileLength = 0;
}
}
// The line scan camera needs to actually count the number of lines in each image to know
// how many total frames there are before beginning pass 2.
if(imageValid && (cameraType == LineScan)) {
int lines = (tmp.Lines() / numFrameLines);
// partial frame?
if(tmp.Lines() % numFrameLines != 0) {
lines ++;
}
tempFileLength += lines;
}
else if(!imageValid) {
excludedFiles.insert(pair<int, bool>(currImage, true));
}
tmp.Close();
if(cameraType == LineScan) {
progress.CheckStatus();
}
}
/**
* If the number of output samples could not be determined, we never
* found a legitimate cube.
*/
if(numOutputSamples <= 0) {
string msg = "No valid input cubes were found";
throw iException::Message(iException::User,msg,_FILEINFO_);
}
/**
* If theres no temp file length, which is based off of valid data in
* the input cubes, then we havent found any valid data.
*/
if(tempFileLength <= 0) {
string msg = "No valid input data was found";
throw iException::Message(iException::User,msg,_FILEINFO_);
}
/**
* ocube is now the temporary file (for pass 2).
*/
ocube = new Cube();
ocube->SetDimensions(numOutputSamples, tempFileLength, 2);
PvlGroup &prefs = Preference::Preferences().FindGroup("DataDirectory", Pvl::Traverse);
iString outTmpName = (string)prefs["Temporary"][0] + "/";
outTmpName += Filename(ui.GetFilename("TO")).Basename() + ".tmp.cub";
ocube->Create(outTmpName);
oLineMgr = new LineManager(*ocube);
oLineMgr->SetLine(1);
ProcessByBrick p;
int excludedCnt = 0;
if(cameraType == LineScan) {
outputTmpAverages.resize(numOutputSamples);
outputTmpCounts.resize(numOutputSamples);
numInputDns.resize(numOutputSamples);
}
cubeInitialized = false;
for(currImage = 0; currImage < inList.size(); currImage++) {
if(Excluded(currImage)) {
excludedCnt ++;
continue;
}
PvlObject currFile("Exclusions");
currFile += PvlKeyword("Filename", inList[currImage]);
currFile += PvlKeyword("Tolerance", maxStdev);
if(cameraType == LineScan) {
currFile += PvlKeyword("FrameLines", numFrameLines);
}
else if(cameraType == PushFrame) {
currFile += PvlKeyword("FrameletLines", numFrameLines);
}
excludedDetails.push_back(currFile);
CubeAttributeInput inAtt;
// This needs to be set constantly because ClearInputCubes
// seems to be removing the input brick size.
if(cameraType == LineScan) {
p.SetBrickSize(1, numFrameLines, 1);
}
else if(cameraType == Framing || cameraType == PushFrame) {
p.SetBrickSize(numOutputSamples, 1, 1);
}
p.SetInputCube(inList[currImage], inAtt);
iString progText = "Calculating Averages " + iString((int)currImage+1);
progText += "/" + iString((int)inList.size());
progText += " (" + Filename(inList[currImage]).Name() + ")";
p.Progress()->SetText(progText);
p.StartProcess(CreateTemporaryData);
p.EndProcess();
p.ClearInputCubes();
if(excludedDetails[excludedDetails.size()-1].Groups() == 0) {
excludedDetails.resize(excludedDetails.size()-1);
}
}
/**
* Pass 2 completed. The processing methods were responsible for writing
* the entire temporary cube.
*/
if(oLineMgr) {
delete oLineMgr;
oLineMgr = NULL;
}
if(ocube) {
ocube->Close();
delete ocube;
}
/**
* ocube is now the final output
*/
ocube = new Cube();
if(cameraType == LineScan) {
ocube->SetDimensions(numOutputSamples, 1, 1);
}
else if(cameraType == Framing || cameraType == PushFrame) {
ocube->SetDimensions(numOutputSamples, tempFileLength, 1);
}
ocube->Create(Filename(ui.GetFilename("TO")).Expanded());
oLineMgr = new LineManager(*ocube);
oLineMgr->SetLine(1);
// We now have the necessary temp file, let's go ahead and combine it into
// the final output!
p.SetInputBrickSize(numOutputSamples, 1, 2);
p.SetOutputBrickSize(numOutputSamples, 1, 1);
cubeInitialized = false;
CubeAttributeInput inAtt;
p.Progress()->SetText("Calculating Final Flat Field");
p.SetInputCube(outTmpName, inAtt);
p.StartProcess(ProcessTemporaryData);
p.EndProcess();
if(cameraType == LineScan) {
ocube->Write(*oLineMgr);
}
if(oLineMgr) {
delete oLineMgr;
oLineMgr = NULL;
}
if(ocube) {
ocube->Close();
delete ocube;
ocube = NULL;
}
/**
* Build a list of excluded files
*/
PvlGroup excludedFiles("ExcludedFiles");
for(currImage = 0; currImage < inList.size(); currImage++) {
if(Excluded(currImage)) {
excludedFiles += PvlKeyword("File", inList[currImage]);
}
}
// log the results
Application::Log(excludedFiles);
if(ui.WasEntered("EXCLUDE")) {
Pvl excludeFile;
// Find excluded files
excludeFile.AddGroup(excludedFiles);
for(unsigned int i = 0; i < excludedDetails.size(); i++) {
excludeFile.AddObject(excludedDetails[i]);
}
excludeFile.Write(Filename(ui.GetFilename("EXCLUDE")).Expanded());
}
remove(outTmpName.c_str());
// Clean up settings
ResetGlobals();
}
void IsisMain() {
Preference::Preferences(true);
cout << "Testing ProcessImport Class ... " << endl;
Preference::Preferences(true);
ProcessImport p;
p.SetInputFile("$base/testData/isisTruth.dat");
p.SetBase(0.0);
p.SetMultiplier(1.0);
p.SetDataHeaderBytes(0);
p.SetDataPrefixBytes(0);
p.SetDataSuffixBytes(0);
p.SetDataTrailerBytes(0);
p.SetDimensions(126, 126, 1);
p.SetFileHeaderBytes(16384);
p.SetOrganization(ProcessImport::BSQ);
p.SetPixelType(Real);
p.SetByteOrder(Lsb);
p.SetOutputCube("TO");
p.StartProcess();
p.EndProcess();
Process p2;
CubeAttributeInput att;
QString file = Application::GetUserInterface().GetFileName("TO");
Cube *icube = p2.SetInputCube(file, att);
Statistics *stat = icube->statistics();
cout << endl << "Average: " << stat->Average() << endl;
cout << endl << "Variance: " << stat->Variance() << endl;
p2.EndProcess();
QFile::remove(file);
cout << endl;
//Checks the setting of special pixel ranges
cout << "Check the settings of the special pixel ranges" << endl;
ProcessImport pNull;
pNull.SetNull(0.0, 45.0);
try { // Should NOT throw an error
pNull.SetNull(0.0, 45.0);
}
catch(IException e) {
cout << e.toString() << endl;
}
cout << endl;
try { // Should throw an error
pNull.SetLRS(35.0, 55.0);
}
catch(IException e) {
cout << e.toString() << endl;
}
cout << endl;
try { // Should NOT throw an error
pNull.SetLIS(50.0, 52.0);
}
catch(IException e) {
cout << e.toString() << endl;
}
cout << endl;
try { // Should throw an error
pNull.SetHRS(-10.0, 5.0);
}
catch(IException e) {
cout << e.toString() << endl;
}
cout << endl;
ProcessImport pLRS;
pLRS.SetLRS(10.0, 145.0);
try { // Should throw an error
pLRS.SetNull(35.0, 55.0);
}
catch(IException e) {
cout << e.toString() << endl;
}
cout << endl;
try { // Should throw an error
pNull.SetLIS(0.0, 15.0);
}
catch(IException e) {
cout << e.toString() << endl;
}
cout << endl;
try { // Should throw an error
pLRS.SetHIS(-10.0, 155.0);
}
catch(IException e) {
cout << e.toString() << endl;
}
cout << endl;
try { // Should NOT throw an error
pLRS.SetHIS(145.0, 155.0);
}
catch(IException e) {
cout << e.toString() << endl;
}
cout << endl;
cout << "Testing ProcessBil()" << endl;
ProcessImport p3;
p3.SetInputFile("$base/testData/isisTruth.dat");
p3.SetBase(0.0);
p3.SetMultiplier(1.0);
p3.SetDataHeaderBytes(0);
p3.SetDataPrefixBytes(0);
p3.SetDataSuffixBytes(0);
p3.SetDataTrailerBytes(0);
p3.SetDimensions(126, 126, 1);
p3.SetFileHeaderBytes(16384);
p3.SetOrganization(ProcessImport::BIL);
p3.SetPixelType(Real);
p3.SetByteOrder(Lsb);
p3.SetOutputCube("TO");
p3.StartProcess();
p3.EndProcess();
cout << endl << "Testing ProcessBip()" << endl;
ProcessImport p4;
p4.SetInputFile("$base/testData/isisTruth.dat");
p4.SetBase(0.0);
p4.SetMultiplier(1.0);
p4.SetDataHeaderBytes(0);
p4.SetDataPrefixBytes(0);
p4.SetDataSuffixBytes(0);
p4.SetDataTrailerBytes(0);
p4.SetDimensions(126, 126, 1);
p4.SetFileHeaderBytes(16384);
p4.SetOrganization(ProcessImport::BIP);
p4.SetPixelType(Real);
p4.SetByteOrder(Lsb);
p4.SetOutputCube("TO");
p4.StartProcess();
p4.EndProcess();
}
void IsisMain() {
//Create a process to create the input cubes
Process p;
//Create the input cubes, matching sample/lines
Cube *inCube = p.SetInputCube ("FROM");
Cube *latCube = p.SetInputCube("LATCUB", SpatialMatch);
Cube *lonCube = p.SetInputCube("LONCUB", SpatialMatch);
//A 1x1 brick to read in the latitude and longitude DN values from
//the specified cubes
Brick latBrick(1,1,1, latCube->PixelType());
Brick lonBrick(1,1,1, lonCube->PixelType());
UserInterface &ui = Application::GetUserInterface();
//Set the sample and line increments
int sinc = (int)(inCube->Samples() * 0.10);
if(ui.WasEntered("SINC")) {
sinc = ui.GetInteger("SINC");
}
int linc = (int)(inCube->Lines() * 0.10);
if(ui.WasEntered("LINC")) {
linc = ui.GetInteger("LINC");
}
//Set the degree of the polynomial to use in our functions
int degree = ui.GetInteger("DEGREE");
//We are using a polynomial with two variables
PolynomialBivariate sampFunct(degree);
PolynomialBivariate lineFunct(degree);
//We will be solving the function using the least squares method
LeastSquares sampSol(sampFunct);
LeastSquares lineSol(lineFunct);
//Setup the variables for solving the stereographic projection
//x = cos(latitude) * sin(longitude - lon_center)
//y = cos(lat_center) * sin(latitude) - sin(lat_center) * cos(latitude) * cos(longitude - lon_center)
//Get the center lat and long from the input cubes
double lat_center = latCube->Statistics()->Average() * PI/180.0;
double lon_center = lonCube->Statistics()->Average() * PI/180.0;
/**
* Loop through lines and samples projecting the latitude and longitude at those
* points to stereographic x and y and adding these points to the LeastSquares
* matrix.
*/
for(int i = 1; i <= inCube->Lines(); i+= linc) {
for(int j = 1; j <= inCube->Samples(); j+= sinc) {
latBrick.SetBasePosition(j, i, 1);
latCube->Read(latBrick);
if(IsSpecial(latBrick.at(0))) continue;
double lat = latBrick.at(0) * PI/180.0;
lonBrick.SetBasePosition(j, i, 1);
lonCube->Read(lonBrick);
if(IsSpecial(lonBrick.at(0))) continue;
double lon = lonBrick.at(0) * PI/180.0;
//Project lat and lon to x and y using a stereographic projection
double k = 2/(1 + sin(lat_center) * sin(lat) + cos(lat_center)*cos(lat)*cos(lon - lon_center));
double x = k * cos(lat) * sin(lon - lon_center);
double y = k * (cos(lat_center) * sin(lat)) - (sin(lat_center) * cos(lat) * cos(lon - lon_center));
//Add x and y to the least squares matrix
vector<double> data;
data.push_back(x);
data.push_back(y);
sampSol.AddKnown(data, j);
lineSol.AddKnown(data, i);
//If the sample increment goes past the last sample in the line, we want to
//always read the last sample..
if(j != inCube->Samples() && j + sinc > inCube->Samples()) {
j = inCube->Samples() - sinc;
}
}
//If the line increment goes past the last line in the cube, we want to
//always read the last line..
if(i != inCube->Lines() && i + linc > inCube->Lines()) {
i = inCube->Lines() - linc;
}
}
//Solve the least squares functions using QR Decomposition
sampSol.Solve(LeastSquares::QRD);
lineSol.Solve(LeastSquares::QRD);
//If the user wants to save the residuals to a file, create a file and write
//the column titles to it.
TextFile oFile;
if(ui.WasEntered("RESIDUALS")) {
oFile.Open(ui.GetFilename("RESIDUALS"), "overwrite");
oFile.PutLine("Sample,\tLine,\tX,\tY,\tSample Error,\tLine Error\n");
}
//Gather the statistics for the residuals from the least squares solutions
Statistics sampErr;
Statistics lineErr;
vector<double> sampResiduals = sampSol.Residuals();
vector<double> lineResiduals = lineSol.Residuals();
for(int i = 0; i < (int)sampResiduals.size(); i++) {
sampErr.AddData(sampResiduals[i]);
lineErr.AddData(lineResiduals[i]);
}
//If a residuals file was specified, write the previous data, and the errors to the file.
if(ui.WasEntered("RESIDUALS")) {
for(int i = 0; i < sampSol.Rows(); i++) {
vector<double> data = sampSol.GetInput(i);
iString tmp = "";
tmp += iString(sampSol.GetExpected(i));
tmp += ",\t";
tmp += iString(lineSol.GetExpected(i));
tmp += ",\t";
tmp += iString(data[0]);
tmp += ",\t";
tmp += iString(data[1]);
tmp += ",\t";
tmp += iString(sampResiduals[i]);
tmp += ",\t";
tmp += iString(lineResiduals[i]);
oFile.PutLine(tmp + "\n");
}
}
oFile.Close();
//Records the error to the log
PvlGroup error( "Error" );
error += PvlKeyword( "Degree", degree );
error += PvlKeyword( "NumberOfPoints", (int)sampResiduals.size() );
error += PvlKeyword( "SampleMinimumError", sampErr.Minimum() );
error += PvlKeyword( "SampleAverageError", sampErr.Average() );
error += PvlKeyword( "SampleMaximumError", sampErr.Maximum() );
error += PvlKeyword( "SampleStdDeviationError", sampErr.StandardDeviation() );
error += PvlKeyword( "LineMinimumError", lineErr.Minimum() );
error += PvlKeyword( "LineAverageError", lineErr.Average() );
error += PvlKeyword( "LineMaximumError", lineErr.Maximum() );
error += PvlKeyword( "LineStdDeviationError", lineErr.StandardDeviation() );
Application::Log( error );
//Close the input cubes for cleanup
p.EndProcess();
//If we want to warp the image, then continue, otherwise return
if(!ui.GetBoolean("NOWARP")) {
//Creates the mapping group
Pvl mapFile;
mapFile.Read(ui.GetFilename("MAP"));
PvlGroup &mapGrp = mapFile.FindGroup("Mapping",Pvl::Traverse);
//Reopen the lat and long cubes
latCube = new Cube();
latCube->SetVirtualBands(ui.GetInputAttribute("LATCUB").Bands());
latCube->Open(ui.GetFilename("LATCUB"));
lonCube = new Cube();
lonCube->SetVirtualBands(ui.GetInputAttribute("LONCUB").Bands());
lonCube->Open(ui.GetFilename("LONCUB"));
PvlKeyword targetName;
//If the user entered the target name
if(ui.WasEntered("TARGET")) {
targetName = PvlKeyword("TargetName", ui.GetString("TARGET"));
}
//Else read the target name from the input cube
else {
Pvl fromFile;
fromFile.Read(ui.GetFilename("FROM"));
targetName = fromFile.FindKeyword("TargetName", Pvl::Traverse);
}
mapGrp.AddKeyword(targetName, Pvl::Replace);
PvlKeyword equRadius;
PvlKeyword polRadius;
//If the user entered the equatorial and polar radii
if(ui.WasEntered("EQURADIUS") && ui.WasEntered("POLRADIUS")) {
equRadius = PvlKeyword("EquatorialRadius", ui.GetDouble("EQURADIUS"));
polRadius = PvlKeyword("PolarRadius", ui.GetDouble("POLRADIUS"));
}
//Else read them from the pck
else {
Filename pckFile("$base/kernels/pck/pck?????.tpc");
pckFile.HighestVersion();
string pckFilename = pckFile.Expanded();
furnsh_c(pckFilename.c_str());
string target = targetName[0];
SpiceInt code;
SpiceBoolean found;
bodn2c_c (target.c_str(), &code, &found);
if (!found) {
string msg = "Could not convert Target [" + target +
"] to NAIF code";
throw Isis::iException::Message(Isis::iException::Io,msg,_FILEINFO_);
}
SpiceInt n;
SpiceDouble radii[3];
bodvar_c(code,"RADII",&n,radii);
equRadius = PvlKeyword("EquatorialRadius", radii[0] * 1000);
polRadius = PvlKeyword("PolarRadius", radii[2] * 1000);
}
mapGrp.AddKeyword(equRadius, Pvl::Replace);
mapGrp.AddKeyword(polRadius, Pvl::Replace);
//If the latitude type is not in the mapping group, copy it from the input
if(!mapGrp.HasKeyword("LatitudeType")) {
if(ui.GetString("LATTYPE") == "PLANETOCENTRIC") {
mapGrp.AddKeyword(PvlKeyword("LatitudeType","Planetocentric"), Pvl::Replace);
}
else {
mapGrp.AddKeyword(PvlKeyword("LatitudeType","Planetographic"), Pvl::Replace);
}
}
//If the longitude direction is not in the mapping group, copy it from the input
if(!mapGrp.HasKeyword("LongitudeDirection")) {
if(ui.GetString("LONDIR") == "POSITIVEEAST") {
mapGrp.AddKeyword(PvlKeyword("LongitudeDirection","PositiveEast"), Pvl::Replace);
}
else {
mapGrp.AddKeyword(PvlKeyword("LongitudeDirection","PositiveWest"), Pvl::Replace);
}
}
//If the longitude domain is not in the mapping group, assume it is 360
if(!mapGrp.HasKeyword("LongitudeDomain")) {
mapGrp.AddKeyword(PvlKeyword("LongitudeDomain","360"), Pvl::Replace);
}
//If the default range is to be computed, use the input lat/long cubes to determine the range
if(ui.GetString("DEFAULTRANGE") == "COMPUTE") {
//NOTE - When computing the min/max longitude this application does not account for the
//longitude seam if it exists. Since the min/max are calculated from the statistics of
//the input longitude cube and then converted to the mapping group's domain they may be
//invalid for cubes containing the longitude seam.
Statistics *latStats = latCube->Statistics();
Statistics *lonStats = lonCube->Statistics();
double minLat = latStats->Minimum();
double maxLat = latStats->Maximum();
bool isOcentric = ((std::string)mapGrp.FindKeyword("LatitudeType")) == "Planetocentric";
if(isOcentric) {
if(ui.GetString("LATTYPE") != "PLANETOCENTRIC") {
minLat = Projection::ToPlanetocentric(minLat, (double)equRadius, (double)polRadius);
maxLat = Projection::ToPlanetocentric(maxLat, (double)equRadius, (double)polRadius);
}
}
else {
if(ui.GetString("LATTYPE") == "PLANETOCENTRIC") {
minLat = Projection::ToPlanetographic(minLat, (double)equRadius, (double)polRadius);
maxLat = Projection::ToPlanetographic(maxLat, (double)equRadius, (double)polRadius);
}
}
int lonDomain = (int)mapGrp.FindKeyword("LongitudeDomain");
double minLon = lonDomain == 360 ? Projection::To360Domain(lonStats->Minimum()) : Projection::To180Domain(lonStats->Minimum());
double maxLon = lonDomain == 360 ? Projection::To360Domain(lonStats->Maximum()) : Projection::To180Domain(lonStats->Maximum());
bool isPosEast = ((std::string)mapGrp.FindKeyword("LongitudeDirection")) == "PositiveEast";
if(isPosEast) {
if(ui.GetString("LONDIR") != "POSITIVEEAST") {
minLon = Projection::ToPositiveEast(minLon, lonDomain);
maxLon = Projection::ToPositiveEast(maxLon, lonDomain);
}
}
else {
if(ui.GetString("LONDIR") == "POSITIVEEAST") {
minLon = Projection::ToPositiveWest(minLon, lonDomain);
maxLon = Projection::ToPositiveWest(maxLon, lonDomain);
}
}
if(minLon > maxLon) {
double temp = minLon;
minLon = maxLon;
maxLon = temp;
}
mapGrp.AddKeyword(PvlKeyword("MinimumLatitude", minLat),Pvl::Replace);
mapGrp.AddKeyword(PvlKeyword("MaximumLatitude", maxLat),Pvl::Replace);
mapGrp.AddKeyword(PvlKeyword("MinimumLongitude", minLon),Pvl::Replace);
mapGrp.AddKeyword(PvlKeyword("MaximumLongitude", maxLon),Pvl::Replace);
}
//If the user decided to enter a ground range then override
if (ui.WasEntered("MINLAT")) {
mapGrp.AddKeyword(PvlKeyword("MinimumLatitude",
ui.GetDouble("MINLAT")),Pvl::Replace);
}
if (ui.WasEntered("MAXLAT")) {
mapGrp.AddKeyword(PvlKeyword("MaximumLatitude",
ui.GetDouble("MAXLAT")),Pvl::Replace);
}
if (ui.WasEntered("MINLON")) {
mapGrp.AddKeyword(PvlKeyword("MinimumLongitude",
ui.GetDouble("MINLON")),Pvl::Replace);
}
if (ui.WasEntered("MAXLON")) {
mapGrp.AddKeyword(PvlKeyword("MaximumLongitude",
ui.GetDouble("MAXLON")),Pvl::Replace);
}
//If the pixel resolution is to be computed, compute the pixels/degree from the input
if (ui.GetString("PIXRES") == "COMPUTE") {
latBrick.SetBasePosition(1,1,1);
latCube->Read(latBrick);
lonBrick.SetBasePosition(1,1,1);
lonCube->Read(lonBrick);
//Read the lat and long at the upper left corner
double a = latBrick.at(0) * PI/180.0;
double c = lonBrick.at(0) * PI/180.0;
latBrick.SetBasePosition(latCube->Samples(),latCube->Lines(),1);
latCube->Read(latBrick);
lonBrick.SetBasePosition(lonCube->Samples(),lonCube->Lines(),1);
lonCube->Read(lonBrick);
//Read the lat and long at the lower right corner
double b = latBrick.at(0) * PI/180.0;
double d = lonBrick.at(0) * PI/180.0;
//Determine the angle between the two points
double angle = acos(cos(a) * cos(b) * cos(c - d) + sin(a) * sin(b));
//double angle = acos((cos(a1) * cos(b1) * cos(b2)) + (cos(a1) * sin(b1) * cos(a2) * sin(b2)) + (sin(a1) * sin(a2)));
angle *= 180/PI;
//Determine the number of pixels between the two points
double pixels = sqrt(pow(latCube->Samples() -1.0, 2.0) + pow(latCube->Lines() -1.0, 2.0));
//Add the scale in pixels/degree to the mapping group
mapGrp.AddKeyword(PvlKeyword("Scale",
pixels/angle, "pixels/degree"),
Pvl::Replace);
if (mapGrp.HasKeyword("PixelResolution")) {
mapGrp.DeleteKeyword("PixelResolution");
}
}
// If the user decided to enter a resolution then override
if (ui.GetString("PIXRES") == "MPP") {
mapGrp.AddKeyword(PvlKeyword("PixelResolution",
ui.GetDouble("RESOLUTION"), "meters/pixel"),
Pvl::Replace);
if (mapGrp.HasKeyword("Scale")) {
mapGrp.DeleteKeyword("Scale");
}
}
else if (ui.GetString("PIXRES") == "PPD") {
mapGrp.AddKeyword(PvlKeyword("Scale",
ui.GetDouble("RESOLUTION"), "pixels/degree"),
Pvl::Replace);
if (mapGrp.HasKeyword("PixelResolution")) {
mapGrp.DeleteKeyword("PixelResolution");
}
}
//Create a projection using the map file we created
int samples,lines;
Projection *outmap = ProjectionFactory::CreateForCube(mapFile,samples,lines,false);
//Write the map file to the log
Application::GuiLog(mapGrp);
//Create a process rubber sheet
ProcessRubberSheet r;
//Set the input cube
inCube = r.SetInputCube("FROM");
double tolerance = ui.GetDouble("TOLERANCE") * outmap->Resolution();
//Create a new transform object
Transform *transform = new nocam2map (sampSol, lineSol, outmap,
latCube, lonCube,
ui.GetString("LATTYPE") == "PLANETOCENTRIC",
ui.GetString("LONDIR") == "POSITIVEEAST",
tolerance, ui.GetInteger("ITERATIONS"),
inCube->Samples(), inCube->Lines(),
samples, lines);
//Allocate the output cube and add the mapping labels
Cube *oCube = r.SetOutputCube ("TO", transform->OutputSamples(),
transform->OutputLines(),
inCube->Bands());
oCube->PutGroup(mapGrp);
//Determine which interpolation to use
Interpolator *interp = NULL;
if (ui.GetString("INTERP") == "NEARESTNEIGHBOR") {
interp = new Interpolator(Interpolator::NearestNeighborType);
}
else if (ui.GetString("INTERP") == "BILINEAR") {
interp = new Interpolator(Interpolator::BiLinearType);
}
else if (ui.GetString("INTERP") == "CUBICCONVOLUTION") {
interp = new Interpolator(Interpolator::CubicConvolutionType);
}
//Warp the cube
r.StartProcess(*transform, *interp);
r.EndProcess();
// add mapping to print.prt
PvlGroup mapping = outmap->Mapping();
Application::Log(mapping);
//Clean up
delete latCube;
delete lonCube;
delete outmap;
delete transform;
delete interp;
}
}
void IsisMain() {
const QString caminfo_program = "caminfo";
UserInterface &ui = Application::GetUserInterface();
QList< QPair<QString, QString> > *general = NULL, *camstats = NULL, *statistics = NULL;
BandGeometry *bandGeom = NULL;
// Get input filename
FileName in = ui.GetFileName("FROM");
// Get the format
QString sFormat = ui.GetAsString("FORMAT");
// if true then run spiceinit, xml default is FALSE
// spiceinit will use system kernels
if(ui.GetBoolean("SPICE")) {
QString parameters = "FROM=" + in.expanded();
ProgramLauncher::RunIsisProgram("spiceinit", parameters);
}
Process p;
Cube *incube = p.SetInputCube("FROM");
// General data gathering
general = new QList< QPair<QString, QString> >;
general->append(MakePair("Program", caminfo_program));
general->append(MakePair("IsisVersion", Application::Version()));
general->append(MakePair("RunDate", iTime::CurrentGMT()));
general->append(MakePair("IsisId", SerialNumber::Compose(*incube)));
general->append(MakePair("From", in.baseName() + ".cub"));
general->append(MakePair("Lines", toString(incube->lineCount())));
general->append(MakePair("Samples", toString(incube->sampleCount())));
general->append(MakePair("Bands", toString(incube->bandCount())));
// Run camstats on the entire image (all bands)
// another camstats will be run for each band and output
// for each band.
if(ui.GetBoolean("CAMSTATS")) {
camstats = new QList< QPair<QString, QString> >;
QString filename = ui.GetAsString("FROM");
int sinc = ui.GetInteger("SINC");
int linc = ui.GetInteger("LINC");
CameraStatistics stats(filename, sinc, linc);
Pvl camPvl = stats.toPvl();
PvlGroup cg = camPvl.findGroup("Latitude", Pvl::Traverse);
camstats->append(MakePair("MinimumLatitude", cg["latitudeminimum"][0]));
camstats->append(MakePair("MaximumLatitude", cg["latitudemaximum"][0]));
cg = camPvl.findGroup("Longitude", Pvl::Traverse);
camstats->append(MakePair("MinimumLongitude", cg["longitudeminimum"][0]));
camstats->append(MakePair("MaximumLongitude", cg["longitudemaximum"][0]));
cg = camPvl.findGroup("Resolution", Pvl::Traverse);
camstats->append(MakePair("MinimumResolution", cg["resolutionminimum"][0]));
camstats->append(MakePair("MaximumResolution", cg["resolutionmaximum"][0]));
cg = camPvl.findGroup("PhaseAngle", Pvl::Traverse);
camstats->append(MakePair("MinimumPhase", cg["phaseminimum"][0]));
camstats->append(MakePair("MaximumPhase", cg["phasemaximum"][0]));
cg = camPvl.findGroup("EmissionAngle", Pvl::Traverse);
camstats->append(MakePair("MinimumEmission", cg["emissionminimum"][0]));
camstats->append(MakePair("MaximumEmission", cg["emissionmaximum"][0]));
cg = camPvl.findGroup("IncidenceAngle", Pvl::Traverse);
camstats->append(MakePair("MinimumIncidence", cg["incidenceminimum"][0]));
camstats->append(MakePair("MaximumIncidence", cg["incidencemaximum"][0]));
cg = camPvl.findGroup("LocalSolarTime", Pvl::Traverse);
camstats->append(MakePair("LocalTimeMinimum", cg["localsolartimeMinimum"][0]));
camstats->append(MakePair("LocalTimeMaximum", cg["localsolartimeMaximum"][0]));
}
// Compute statistics for entire cube
if(ui.GetBoolean("STATISTICS")) {
statistics = new QList< QPair<QString, QString> >;
LineManager iline(*incube);
Statistics stats;
Progress progress;
progress.SetText("Statistics...");
progress.SetMaximumSteps(incube->lineCount()*incube->bandCount());
progress.CheckStatus();
iline.SetLine(1);
for(; !iline.end() ; iline.next()) {
incube->read(iline);
stats.AddData(iline.DoubleBuffer(), iline.size());
progress.CheckStatus();
}
// Compute stats of entire cube
double nPixels = stats.TotalPixels();
double nullpercent = (stats.NullPixels() / (nPixels)) * 100;
double hispercent = (stats.HisPixels() / (nPixels)) * 100;
double hrspercent = (stats.HrsPixels() / (nPixels)) * 100;
double lispercent = (stats.LisPixels() / (nPixels)) * 100;
double lrspercent = (stats.LrsPixels() / (nPixels)) * 100;
// Statitics output for band
statistics->append(MakePair("MeanValue", toString(stats.Average())));
statistics->append(MakePair("StandardDeviation", toString(stats.StandardDeviation())));
statistics->append(MakePair("MinimumValue", toString(stats.Minimum())));
statistics->append(MakePair("MaximumValue", toString(stats.Maximum())));
statistics->append(MakePair("PercentHIS", toString(hispercent)));
statistics->append(MakePair("PercentHRS", toString(hrspercent)));
statistics->append(MakePair("PercentLIS", toString(lispercent)));
statistics->append(MakePair("PercentLRS", toString(lrspercent)));
statistics->append(MakePair("PercentNull", toString(nullpercent)));
statistics->append(MakePair("TotalPixels", toString(stats.TotalPixels())));
}
bool getFootBlob = ui.GetBoolean("USELABEL");
bool doGeometry = ui.GetBoolean("GEOMETRY");
bool doPolygon = ui.GetBoolean("POLYGON");
if(doGeometry || doPolygon || getFootBlob) {
Camera *cam = incube->camera();
QString incType = ui.GetString("INCTYPE");
int polySinc, polyLinc;
if(doPolygon && incType.toUpper() == "VERTICES") {
ImagePolygon poly;
poly.initCube(*incube);
polySinc = polyLinc = (int)(0.5 + (((poly.validSampleDim() * 2) +
(poly.validLineDim() * 2) - 3.0) /
ui.GetInteger("NUMVERTICES")));
}
else if (incType.toUpper() == "LINCSINC"){
if(ui.WasEntered("POLYSINC")) {
polySinc = ui.GetInteger("POLYSINC");
}
else {
polySinc = (int)(0.5 + 0.10 * incube->sampleCount());
if(polySinc == 0) polySinc = 1;
}
if(ui.WasEntered("POLYLINC")) {
polyLinc = ui.GetInteger("POLYLINC");
}
else {
polyLinc = (int)(0.5 + 0.10 * incube->lineCount());
if(polyLinc == 0) polyLinc = 1;
}
}
else {
QString msg = "Invalid INCTYPE option[" + incType + "]";
throw IException(IException::Programmer, msg, _FILEINFO_);
}
bandGeom = new BandGeometry();
bandGeom->setSampleInc(polySinc);
bandGeom->setLineInc(polyLinc);
bandGeom->setMaxIncidence(ui.GetDouble("MAXINCIDENCE"));
bandGeom->setMaxEmission(ui.GetDouble("MAXEMISSION"));
bool precision = ui.GetBoolean("INCREASEPRECISION");
if (getFootBlob) {
// Need to read history to obtain parameters that were used to
// create the footprint
History hist("IsisCube", in.expanded());
Pvl pvl = hist.ReturnHist();
PvlObject::PvlObjectIterator objIter;
bool found = false;
PvlGroup fpgrp;
for (objIter=pvl.endObject()-1; objIter>=pvl.beginObject(); objIter--) {
if (objIter->name().toUpper() == "FOOTPRINTINIT") {
found = true;
fpgrp = objIter->findGroup("UserParameters");
break;
}
}
if (!found) {
QString msg = "Footprint blob was not found in input image history";
throw IException(IException::User, msg, _FILEINFO_);
}
QString prec = (QString)fpgrp.findKeyword("INCREASEPRECISION");
prec = prec.toUpper();
if (prec == "TRUE") {
precision = true;
}
else {
precision = false;
}
QString inctype = (QString)fpgrp.findKeyword("INCTYPE");
inctype = inctype.toUpper();
if (inctype == "LINCSINC") {
int linc = fpgrp.findKeyword("LINC");
int sinc = fpgrp.findKeyword("SINC");
bandGeom->setSampleInc(sinc);
bandGeom->setLineInc(linc);
}
else {
int vertices = fpgrp.findKeyword("NUMVERTICES");
int lincsinc = (int)(0.5 + (((incube->sampleCount() * 2) +
(incube->lineCount() * 2) - 3.0) /
vertices));
bandGeom->setSampleInc(lincsinc);
bandGeom->setLineInc(lincsinc);
}
if (fpgrp.hasKeyword("MAXINCIDENCE")) {
double maxinc = fpgrp.findKeyword("MAXINCIDENCE");
bandGeom->setMaxIncidence(maxinc);
}
if (fpgrp.hasKeyword("MAXEMISSION")) {
double maxema = fpgrp.findKeyword("MAXEMISSION");
bandGeom->setMaxEmission(maxema);
}
}
bandGeom->collect(*cam, *incube, doGeometry, doPolygon, getFootBlob, precision);
// Check if the user requires valid image center geometry
if(ui.GetBoolean("VCAMERA") && (!bandGeom->hasCenterGeometry())) {
QString msg = "Image center does not project in camera model";
throw IException(IException::Unknown, msg, _FILEINFO_);
}
}
if(sFormat.toUpper() == "PVL")
GeneratePVLOutput(incube, general, camstats, statistics, bandGeom);
else
GenerateCSVOutput(incube, general, camstats, statistics, bandGeom);
// Clean the data
delete general;
general = NULL;
if(camstats) {
delete camstats;
camstats = NULL;
}
if(statistics) {
delete statistics;
statistics = NULL;
}
if(bandGeom) {
delete bandGeom;
bandGeom = NULL;
}
}
/**
* Retrieve the statistics based on the box size
* and point on the cube.
*
* @param p
*/
void StatisticsTool::getStatistics(QPoint p) {
MdiCubeViewport *cvp = cubeViewport();
if(cvp == NULL) return;
double sample, line;
cvp->viewportToCube(p.x(), p.y(), sample, line);
// If we are outside of the cube, do nothing
if((sample < 0.5) || (line < 0.5) ||
(sample > cvp->cubeSamples() + 0.5) || (line > cvp->cubeLines() + 0.5)) {
return;
}
int isamp = (int)(sample + 0.5);
int iline = (int)(line + 0.5);
Statistics stats;
Brick *brick = new Brick(1, 1, 1, cvp->cube()->pixelType());
QVector<QVector<double> > pixelData(p_boxLines, QVector<double>(p_boxSamps, Null));
double lineDiff = p_boxLines / 2.0;
double sampDiff = p_boxSamps / 2.0;
p_ulSamp = isamp - (int)floor(sampDiff);
p_ulLine = iline - (int)floor(lineDiff);
int x, y;
y = p_ulLine;
for(int i = 0; i < p_boxLines; i++) {
x = p_ulSamp;
if(y < 1 || y > cvp->cubeLines()) {
y++;
continue;
}
for(int j = 0; j < p_boxSamps; j++) {
if(x < 1 || x > cvp->cubeSamples()) {
x++;
continue;
}
brick->SetBasePosition(x, y, cvp->grayBand());
cvp->cube()->read(*brick);
stats.AddData(brick->at(0));
pixelData[i][j] = brick->at(0);
x++;
}
y++;
}
p_visualDisplay->setPixelData(pixelData, p_ulSamp, p_ulLine);
if (stats.ValidPixels()) {
p_minLabel->setText(QString("Minimum: %1").arg(stats.Minimum()));
p_maxLabel->setText(QString("Maximum: %1").arg(stats.Maximum()));
p_avgLabel->setText(QString("Average: %1").arg(stats.Average()));
p_stdevLabel->setText(QString("Standard Dev: %1").arg(stats.StandardDeviation(), 0, 'f', 6));
}
else {
p_minLabel->setText(QString("Minimum: n/a"));
p_maxLabel->setText(QString("Maximum: n/a"));
p_avgLabel->setText(QString("Average: n/a"));
p_stdevLabel->setText(QString("Standard Dev: n/a"));
}
p_set = true;
resizeScrollbars();
}
void IsisMain() {
// We will be processing by line
ProcessByLine p;
// Setup the input and output cubes
Cube *icube = p.SetInputCube("FROM");
PvlKeyword &status = icube->group("RESEAUS")["STATUS"];
UserInterface &ui = Application::GetUserInterface();
QString in = ui.GetFileName("FROM");
// Check reseau status and make sure it is not nominal or removed
if((QString)status == "Nominal") {
QString msg = "Input file [" + in +
"] appears to have nominal reseau status. You must run findrx first.";
throw IException(IException::User, msg, _FILEINFO_);
}
if((QString)status == "Removed") {
QString msg = "Input file [" + in +
"] appears to already have reseaus removed.";
throw IException(IException::User, msg, _FILEINFO_);
}
status = "Removed";
p.SetOutputCube("TO");
// Start the processing
p.StartProcess(cpy);
p.EndProcess();
// Get the user entered dimensions
sdim = ui.GetInteger("SDIM");
ldim = ui.GetInteger("LDIM");
// Get other user entered options
QString out = ui.GetFileName("TO");
resvalid = ui.GetBoolean("RESVALID");
action = ui.GetString("ACTION");
// Open the output cube
Cube cube;
cube.open(out, "rw");
PvlGroup &res = cube.label()->findGroup("RESEAUS", Pvl::Traverse);
// Get reseau line, sample, type, and valid Keywords
PvlKeyword lines = res.findKeyword("LINE");
PvlKeyword samps = res.findKeyword("SAMPLE");
PvlKeyword type = res.findKeyword("TYPE");
PvlKeyword valid = res.findKeyword("VALID");
int numres = lines.size();
Brick brick(sdim, ldim, 1, cube.pixelType());
for(int res = 0; res < numres; res++) {
if((resvalid == 0 || toInt(valid[res]) == 1) && toInt(type[res]) != 0) {
int baseSamp = (int)(toDouble(samps[res]) + 0.5) - (sdim / 2);
int baseLine = (int)(toDouble(lines[res]) + 0.5) - (ldim / 2);
brick.SetBasePosition(baseSamp, baseLine, 1);
cube.read(brick);
if(action == "NULL") {
for(int i = 0; i < brick.size(); i++) brick[i] = Isis::Null;
}
else if(action == "BILINEAR") {
Statistics stats;
double array[sdim][ldim];
for(int s = 0; s < sdim; s++) {
for(int l = 0; l < ldim; l++) {
int index = l * sdim + s;
array[s][l] = brick[index];
// Add perimeter data to stats object for calculations
if(s == 0 || l == 0 || s == (sdim - 1) || l == (ldim - 1)) {
stats.AddData(&array[s][l], 1);
}
}
}
// Get the average and standard deviation of the perimeter of the brick
double avg = stats.Average();
double sdev = stats.StandardDeviation();
// Top Edge Reseau
if(toInt(type[res]) == 2) {
int l1 = 0;
int l2 = ldim - 1;
for(int s = 0; s < sdim; s++) {
array[s][l1] = array[s][l2];
}
}
// Left Edge Reseau
else if(toInt(type[res]) == 4) {
int s1 = 0;
int s2 = sdim - 1;
for(int l = 0; l < ldim; l++) {
array[s1][l] = array[s2][l];
}
}
// Right Edge Reseau
else if(toInt(type[res]) == 6) {
int s1 = 0;
int s2 = sdim - 1;
for(int l = 0; l < ldim; l++) {
array[s2][l] = array[s1][l];
}
}
// Bottom Edge Reseau
else if(toInt(type[res]) == 8) {
int l1 = 0;
int l2 = ldim - 1;
for(int s = 0; s < sdim; s++) {
array[s][l2] = array[s][l1];
}
}
// Walk top edge & replace data outside of 2devs with the avg
for(int s = 0; s < sdim; s++) {
int l = 0;
double diff = fabs(array[s][l] - avg);
if(diff > (2 * sdev)) array[s][l] = avg;
}
// Walk bottom edge & replace data outside of 2devs with the avg
for(int s = 0; s < sdim; s++) {
int l = ldim - 1;
double diff = fabs(array[s][l] - avg);
if(diff > (2 * sdev)) array[s][l] = avg;
}
// Walk left edge & replace data outside of 2devs with the avg
for(int l = 0; l < ldim; l++) {
int s = 0;
double diff = fabs(array[s][l] - avg);
if(diff > (2 * sdev)) array[s][l] = avg;
}
// Walk right edge & replace data outside of 2devs with the avg
for(int l = 0; l < ldim; l++) {
int s = sdim - 1;
double diff = fabs(array[s][l] - avg);
if(diff > (2 * sdev)) array[s][l] = avg;
}
srand(0);
double dn, gdn1, gdn2;
for(int l = 0; l < ldim; l++) {
int c = l * sdim; //count
// Top Edge Reseau
if(toInt(type[res]) == 2 && l < (ldim / 2)) continue;
// Bottom Edge Reseau
if(toInt(type[res]) == 8 && l > (ldim / 2 + 1)) continue;
for(int s = 0; s < sdim; s++, c++) {
// Left Edge Reseau
if(toInt(type[res]) == 4 && s < (sdim / 2)) continue;
// Right Edge Reseau
if(toInt(type[res]) == 6 && s > (sdim / 2 + 1)) continue;
double sum = 0.0;
int gline1 = 0;
int gline2 = ldim - 1;
gdn1 = array[s][gline1];
gdn2 = array[s][gline2];
// Linear Interpolation to get pixel value
dn = gdn2 + (l - gline2) * (gdn1 - gdn2) / (gline1 - gline2);
sum += dn;
int gsamp1 = 0;
int gsamp2 = sdim - 1;
gdn1 = array[gsamp1][l];
gdn2 = array[gsamp2][l];
// Linear Interpolation to get pixel value
dn = gdn2 + (s - gsamp2) * (gdn1 - gdn2) / (gsamp1 - gsamp2);
sum += dn;
dn = sum / 2;
int rdm = rand();
double drandom = rdm / (double)RAND_MAX;
double offset = 0.0;
if(drandom < .333) offset = -1.0;
if(drandom > .666) offset = 1.0;
brick[c] = dn + offset;
}
}
}
}
cube.write(brick);
}
cube.close();
}
void IsisMain(){
Process p;
// Reset all the stats objects because they are global
latStat.Reset();
lonStat.Reset();
resStat.Reset();
sampleResStat.Reset();
lineResStat.Reset();
aspectRatioStat.Reset();
phaseStat.Reset();
emissionStat.Reset();
incidenceStat.Reset();
localSolarTimeStat.Reset();
localRaduisStat.Reset();
northAzimuthStat.Reset();
UserInterface &ui = Application::GetUserInterface();
Cube *icube = p.SetInputCube("FROM");
Camera *cam = icube->Camera();
// Cube cube;
// cube.Open(ui.GetFilename("FROM"));
// Camera *cam = cube.Camera();
int eband = cam->Bands();
// if the camera is band independent that only run one band
if (cam->IsBandIndependent()) eband = 1;
int linc = ui.GetInteger("LINC");
int sinc = ui.GetInteger("SINC");
int pTotal = eband * ((cam->Lines()-2) / linc + 2) ;
Progress progress;
progress.SetMaximumSteps(pTotal);
progress.CheckStatus();
for (int band=1; band<=eband; band++) {
cam->SetBand(band);
for (int line=1; line<(int)cam->Lines(); line=line+linc) {
for (int sample=1; sample< cam->Samples(); sample=sample+sinc) {
buildStats(cam, sample, line);
}
//set the sample value to the last sample and run buildstats
int sample = cam->Samples();
buildStats(cam, sample, line);
progress.CheckStatus();
}
//set the line value to the last line and run on all samples(sample + sinc)
int line = cam->Lines();
for (int sample=1; sample< cam->Samples(); sample=sample+sinc) {
buildStats(cam, sample, line);
}
//set last sample and run with last line
int sample = cam->Samples();
buildStats(cam, sample, line);
progress.CheckStatus();
}
//Set up the Pvl groups and get min, max, avg, and sd for each statstics object
PvlGroup pUser("User Parameters");
pUser += PvlKeyword("Filename",ui.GetFilename("FROM"));
pUser += PvlKeyword("Linc",ui.GetInteger("LINC"));
pUser += PvlKeyword("Sinc",ui.GetInteger("SINC"));
PvlGroup pLat("Latitude");
pLat += ValidateKey("LatitudeMinimum",latStat.Minimum());
pLat += ValidateKey("LatitudeMaximum",latStat.Maximum());
pLat += ValidateKey("LatitudeAverage",latStat.Average());
pLat += ValidateKey("LatitudeStandardDeviation",latStat.StandardDeviation());
PvlGroup pLon("Longitude");
pLon += ValidateKey("LongitudeMinimum",lonStat.Minimum());
pLon += ValidateKey("LongitudeMaximum",lonStat.Maximum());
pLon += ValidateKey("LongitudeAverage",lonStat.Average());
pLon += ValidateKey("LongitudeStandardDeviation",lonStat.StandardDeviation());
PvlGroup pSampleRes("SampleResolution");
pSampleRes += ValidateKey("SampleResolutionMinimum",sampleResStat.Minimum(),
"meters/pixel");
pSampleRes += ValidateKey("SampleResolutionMaximum",sampleResStat.Maximum(),
"meters/pixel");
pSampleRes += ValidateKey("SampleResolutionAverage",sampleResStat.Average(),
"meters/pixel");
pSampleRes += ValidateKey("SampleResolutionStandardDeviation",
sampleResStat.StandardDeviation(),"meters/pixel");
PvlGroup pLineRes("LineResolution");
pLineRes += ValidateKey("LineResolutionMinimum",lineResStat.Minimum(),
"meters/pixel");
pLineRes += ValidateKey("LineResolutionMaximum",lineResStat.Maximum(),
"meters/pixel");
pLineRes += ValidateKey("LineResolutionAverage",lineResStat.Average(),
"meters/pixel");
pLineRes += ValidateKey("LineResolutionStandardDeviation",
lineResStat.StandardDeviation(),"meters/pixel");
PvlGroup pResolution("Resolution");
pResolution += ValidateKey("ResolutionMinimum",resStat.Minimum(),
"meters/pixel");
pResolution += ValidateKey("ResolutionMaximum",resStat.Maximum(),
"meters/pixel");
pResolution += ValidateKey("ResolutionAverage",resStat.Average(),
"meters/pixel");
pResolution += ValidateKey("ResolutionStandardDeviation",
resStat.StandardDeviation(),"meters/pixel");
PvlGroup pAspectRatio("AspectRatio");
pAspectRatio += ValidateKey("AspectRatioMinimum",aspectRatioStat.Minimum());
pAspectRatio += ValidateKey("AspectRatioMaximun",aspectRatioStat.Maximum());
pAspectRatio += ValidateKey("AspectRatioAverage",aspectRatioStat.Average());
pAspectRatio += ValidateKey("AspectRatioStandardDeviation",
aspectRatioStat.StandardDeviation());
PvlGroup pPhase("PhaseAngle");
pPhase += ValidateKey("PhaseMinimum",phaseStat.Minimum());
pPhase += ValidateKey("PhaseMaximum",phaseStat.Maximum());
pPhase += ValidateKey("PhaseAverage",phaseStat.Average());
pPhase += ValidateKey("PhaseStandardDeviation",phaseStat.StandardDeviation());
PvlGroup pEmission("EmissionAngle");
pEmission += ValidateKey("EmissionMinimum",emissionStat.Minimum());
pEmission += ValidateKey("EmissionMaximum",emissionStat.Maximum());
pEmission += ValidateKey("EmissionAverage",emissionStat.Average());
pEmission += ValidateKey("EmissionStandardDeviation",
emissionStat.StandardDeviation());
PvlGroup pIncidence("IncidenceAngle");
pIncidence += ValidateKey("IncidenceMinimum",incidenceStat.Minimum());
pIncidence += ValidateKey("IncidenceMaximum",incidenceStat.Maximum());
pIncidence += ValidateKey("IncidenceAverage",incidenceStat.Average());
pIncidence += ValidateKey("IncidenceStandardDeviation",
incidenceStat.StandardDeviation());
PvlGroup pTime("LocalSolarTime");
pTime += ValidateKey("LocalSolarTimeMinimum",localSolarTimeStat.Minimum(),
"hours");
pTime += ValidateKey("LocalSolarTimeMaximum",localSolarTimeStat.Maximum(),
"hours");
pTime += ValidateKey("LocalSolarTimeAverage",localSolarTimeStat.Average(),
"hours");
pTime += ValidateKey("LocalSolarTimeStandardDeviation",
localSolarTimeStat.StandardDeviation(),"hours");
PvlGroup pLocalRadius("LocalRadius");
pLocalRadius += ValidateKey("LocalRadiusMinimum",localRaduisStat.Minimum());
pLocalRadius += ValidateKey("LocalRadiusMaximum",localRaduisStat.Maximum());
pLocalRadius += ValidateKey("LocalRadiusAverage",localRaduisStat.Average());
pLocalRadius += ValidateKey("LocalRadiusStandardDeviation",
localRaduisStat.StandardDeviation());
PvlGroup pNorthAzimuth("NorthAzimuth");
pNorthAzimuth += ValidateKey("NorthAzimuthMinimum",northAzimuthStat.Minimum());
pNorthAzimuth += ValidateKey("NorthAzimuthMaximum",northAzimuthStat.Maximum());
pNorthAzimuth += ValidateKey("NorthAzimuthAverage",northAzimuthStat.Average());
pNorthAzimuth += ValidateKey("NorthAzimuthStandardDeviation",
northAzimuthStat.StandardDeviation());
// Send the Output to the log area
Application::Log(pUser);
Application::Log(pLat);
Application::Log(pLon);
Application::Log(pSampleRes);
Application::Log(pLineRes);
Application::Log(pResolution);
Application::Log(pAspectRatio);
Application::Log(pPhase);
Application::Log(pEmission);
Application::Log(pIncidence);
Application::Log(pTime);
Application::Log(pLocalRadius);
Application::Log(pNorthAzimuth);
if (ui.WasEntered("TO")) {
string from = ui.GetFilename("FROM");
string outfile = Filename(ui.GetFilename("TO")).Expanded();
bool exists = Filename(outfile).Exists();
bool append = ui.GetBoolean("APPEND");
//If the user chooses a fromat of PVL then write to the output file ("TO")
if (ui.GetString("FORMAT") == "PVL") {
Pvl temp;
temp.SetTerminator("");
temp.AddGroup(pUser);
temp.AddGroup(pLat);
temp.AddGroup(pLon);
temp.AddGroup(pSampleRes);
temp.AddGroup(pLineRes);
temp.AddGroup(pResolution);
temp.AddGroup(pAspectRatio);
temp.AddGroup(pPhase);
temp.AddGroup(pEmission);
temp.AddGroup(pIncidence);
temp.AddGroup(pTime);
temp.AddGroup(pLocalRadius);
temp.AddGroup(pNorthAzimuth);
if (append) {
temp.Append(outfile);
}
else {
temp.Write(outfile);
}
}
//Create a flatfile of the data with columhn headings
// the flatfile is comma delimited and can be imported in to spreadsheets
else {
ofstream os;
bool writeHeader = true;
if (append) {
os.open(outfile.c_str(),ios::app);
if (exists) {
writeHeader = false;
}
}
else {
os.open(outfile.c_str(),ios::out);
}
// if new file or append and no file exists then write header
if(writeHeader){
os << "Filename,"<<
"LatitudeMinimum,"<<
"LatitudeMaximum,"<<
"LatitudeAverage,"<<
"LatitudeStandardDeviation,"<<
"LongitudeMinimum,"<<
"LongitudeMaximum,"<<
"LongitudeAverage,"<<
"LongitudeStandardDeviation,"<<
"SampleResolutionMinimum,"<<
"SampleResolutionMaximum,"<<
"SampleResolutionAverage,"<<
"SampleResolutionStandardDeviation,"<<
"LineResolutionMinimum,"<<
"LineResolutionMaximum,"<<
"LineResolutionAverage,"<<
"LineResolutionStandardDeviation,"<<
"ResolutionMinimum,"<<
"ResolutionMaximum,"<<
"ResolutionAverage,"<<
"ResolutionStandardDeviation,"<<
"AspectRatioMinimum,"<<
"AspectRatioMaximum,"<<
"AspectRatioAverage,"<<
"AspectRatioStandardDeviation,"<<
"PhaseMinimum,"<<
"PhaseMaximum,"<<
"PhaseAverage,"<<
"PhaseStandardDeviation,"<<
"EmissionMinimum,"<<
"EmissionMaximum,"<<
"EmissionAverage,"<<
"EmissionStandardDeviation,"<<
"IncidenceMinimum,"<<
"IncidenceMaximum,"<<
"IncidenceAverage,"<<
"IncidenceStandardDeviation,"<<
"LocalSolarTimeMinimum,"<<
"LocalSolarTimeMaximum,"<<
"LocalSolarTimeAverage,"<<
"LocalSolarTimeStandardDeviation,"<<
"LocalRadiusMaximum,"<<
"LocalRadiusMaximum,"<<
"LocalRadiusAverage,"<<
"LocalRadiusStandardDeviation,"<<
"NorthAzimuthMinimum,"<<
"NorthAzimuthMaximum,"<<
"NorthAzimuthAverage,"<<
"NorthAzimuthStandardDeviation,"<<endl;
}
os << Filename(from).Expanded() <<",";
//call the function to write out the values for each group
writeFlat(os, latStat);
writeFlat(os, lonStat);
writeFlat(os, sampleResStat);
writeFlat(os, lineResStat);
writeFlat(os, resStat);
writeFlat(os, aspectRatioStat);
writeFlat(os, phaseStat);
writeFlat(os, emissionStat);
writeFlat(os, incidenceStat);
writeFlat(os, localSolarTimeStat);
writeFlat(os, localRaduisStat);
writeFlat(os, northAzimuthStat);
os << endl;
}
}
if( ui.GetBoolean("ATTACH") ) {
string cam_name = "CameraStatistics";
//Creates new CameraStatistics Table
TableField fname( "Name", Isis::TableField::Text, 20 );
TableField fmin( "Minimum", Isis::TableField::Double );
TableField fmax( "Maximum", Isis::TableField::Double );
TableField favg( "Average", Isis::TableField::Double );
TableField fstd( "StandardDeviation", Isis::TableField::Double );
TableRecord record;
record += fname;
record += fmin;
record += fmax;
record += favg;
record += fstd;
Table table( cam_name, record );
vector<PvlGroup> grps;
grps.push_back( pLat );
grps.push_back( pLon );
grps.push_back( pSampleRes );
grps.push_back( pLineRes );
grps.push_back( pResolution );
grps.push_back( pAspectRatio );
grps.push_back( pPhase );
grps.push_back( pEmission );
grps.push_back( pIncidence );
grps.push_back( pTime );
grps.push_back( pLocalRadius );
grps.push_back( pNorthAzimuth );
for( vector<PvlGroup>::iterator g = grps.begin(); g != grps.end(); g++ ) {
int i = 0;
record[i++] = g->Name();
record[i++] = (double) (*g)[0][0];
record[i++] = (double) (*g)[1][0];
record[i++] = (double) (*g)[2][0];
record[i++] = (double) (*g)[3][0];
table += record;
}
icube->ReOpen( "rw" );
icube->Write( table );
p.WriteHistory(*icube);
icube->Close();
}
}