void IsisMain() {
// Get the list of cubes to mosaic
FileList imageList;
UserInterface &ui = Application::GetUserInterface();
imageList.Read(ui.GetFilename("FROMLIST"));
if (imageList.size() < 1) {
std::string msg = "The list file [" + ui.GetFilename("FROMLIST") +
"] does not contain any data";
throw iException::Message(iException::User,msg,_FILEINFO_);
}
// Make sure the user enters a "OUTSTATS" file if the CALCULATE option
// is selected
std::string processOpt = ui.GetString("PROCESS");
if (processOpt == "CALCULATE") {
if (!ui.WasEntered("OUTSTATS")) {
std::string msg = "If the CALCULATE option is selected, you must enter";
msg += " an OUTSTATS file";
throw iException::Message(iException::User,msg,_FILEINFO_);
}
}
// Make sure number of bands and projection parameters match for all cubes
for (unsigned int i=0; i<imageList.size(); i++) {
Cube cube1;
cube1.Open(imageList[i]);
g_maxBand = cube1.Bands();
for (unsigned int j=(i+1); j<imageList.size(); j++) {
Cube cube2;
cube2.Open(imageList[j]);
// Make sure number of bands match
if (g_maxBand != cube2.Bands()) {
string msg = "Number of bands do not match between cubes [" +
imageList[i] + "] and [" + imageList[j] + "]";
throw iException::Message(iException::User,msg,_FILEINFO_);
}
//Create projection from each cube
Projection *proj1 = cube1.Projection();
Projection *proj2 = cube2.Projection();
// Test to make sure projection parameters match
if (*proj1 != *proj2) {
string msg = "Mapping groups do not match between cubes [" +
imageList[i] + "] and [" + imageList[j] + "]";
throw iException::Message(iException::User,msg,_FILEINFO_);
}
}
}
// Read hold list if one was entered
std::vector<int> hold;
if (ui.WasEntered("HOLD")) {
FileList holdList;
holdList.Read(ui.GetFilename("HOLD"));
// Make sure each file in the holdlist matches a file in the fromlist
for (int i=0; i<(int)holdList.size(); i++) {
bool matched = false;
for (int j=0; j<(int)imageList.size(); j++) {
if (holdList[i] == imageList[j]) {
matched = true;
hold.push_back(j);
break;
}
}
if (!matched) {
std::string msg = "The hold list file [" + holdList[i] +
"] does not match a file in the from list";
throw iException::Message(iException::User,msg,_FILEINFO_);
}
}
}
// Read to list if one was entered
FileList outList;
if (ui.WasEntered("TOLIST")) {
outList.Read(ui.GetFilename("TOLIST"));
// Make sure each file in the tolist matches a file in the fromlist
if (outList.size() != imageList.size()) {
std::string msg = "Each input file in the FROM LIST must have a ";
msg += "corresponding output file in the TO LIST.";
throw iException::Message(iException::User,msg,_FILEINFO_);
}
// Make sure that all output files do not have the same names as their
// corresponding input files
for (unsigned i = 0; i < outList.size(); i++) {
if (outList[i].compare(imageList[i]) == 0) {
std::string msg = "The to list file [" + outList[i] +
"] has the same name as its corresponding from list file.";
throw iException::Message(iException::User,msg,_FILEINFO_);
}
}
}
// Test to ensure sampling percent in bound
double sampPercent = ui.GetDouble("PERCENT");
if (sampPercent <= 0.0 || sampPercent > 100.0) {
string msg = "The sampling percent must be a decimal (0.0, 100.0]";
throw iException::Message(iException::User,msg,_FILEINFO_);
}
int mincnt = ui.GetInteger("MINCOUNT");
bool wtopt = ui.GetBoolean("WEIGHT");
if (processOpt != "APPLY") {
// Loop through all the input cubes, calculating statistics for each cube to use later
iString maxCubeStr ((int)imageList.size());
for (int band=1; band<=g_maxBand; band++) {
std::vector<Statistics> statsList;
for (int img=0; img<(int)imageList.size(); img++) {
Process p;
const CubeAttributeInput att;
const std::string inp = imageList[img];
Cube *icube = p.SetInputCube(inp, att);
// Add a Statistics object to the list for every band of every input cube
g_imageIndex = img;
Statistics stats = GatherStatistics(*icube, band, sampPercent, maxCubeStr);
statsList.push_back(stats);
p.EndProcess();
}
// Create a separate OverlapNormalization object for every band
OverlapNormalization *oNorm = new OverlapNormalization (statsList);
for (int h=0; h<(int)hold.size(); h++) oNorm->AddHold(hold[h]);
g_oNormList.push_back(oNorm);
}
// A list for keeping track of which input cubes are known to overlap another
std::vector<bool> doesOverlapList;
for (unsigned int i=0; i<imageList.size(); i++) doesOverlapList.push_back(false);
// Find overlapping areas and add them to the set of known overlaps for each
// band shared amongst cubes
for (unsigned int i=0; i<imageList.size(); i++){
Cube cube1;
cube1.Open(imageList[i]);
for (unsigned int j=(i+1); j<imageList.size(); j++) {
Cube cube2;
cube2.Open(imageList[j]);
iString cubeStr1 ((int)(i+1));
iString cubeStr2 ((int)(j+1));
string statMsg = "Gathering Overlap Statisitcs for Cube " +
cubeStr1 + " vs " + cubeStr2 + " of " + maxCubeStr;
// Get overlap statistics for cubes
OverlapStatistics oStats(cube1, cube2, statMsg, sampPercent);
// Only push the stats onto the oList vector if there is an overlap in at
// least one of the bands
if (oStats.HasOverlap()) {
oStats.SetMincount(mincnt);
g_overlapList.push_back(oStats);
for (int band=1; band<=g_maxBand; band++) {
// Fill wt vector with 1's if the overlaps are not to be weighted, or
// fill the vector with the number of valid pixels in each overlap
int weight = 1;
if (wtopt) weight = oStats.GetMStats(band).ValidPixels();
// Make sure overlap has at least MINCOUNT pixels and add
if (oStats.GetMStats(band).ValidPixels() >= mincnt) {
g_oNormList[band-1]->AddOverlap(oStats.GetMStats(band).X(), i,
oStats.GetMStats(band).Y(), j, weight);
doesOverlapList[i] = true;
doesOverlapList[j] = true;
}
}
}
}
}
// Print an error if one or more of the images does not overlap another
{
std::string badFiles = "";
for (unsigned int img=0; img<imageList.size(); img++) {
// Print the name of each input cube without an overlap
if (!doesOverlapList[img]) {
badFiles += "[" + imageList[img] + "] ";
}
}
if (badFiles != "") {
std::string msg = "File(s) " + badFiles;
msg += " do(es) not overlap any other input images with enough valid pixels";
throw iException::Message(iException::User,msg,_FILEINFO_);
}
}
// Determine whether to calculate gains or offsets
std::string adjust = ui.GetString("ADJUST");
OverlapNormalization::SolutionType sType = OverlapNormalization::Both;
if (adjust == "CONTRAST") sType = OverlapNormalization::Gains;
if (adjust == "BRIGHTNESS") sType = OverlapNormalization::Offsets;
// Loop through each band making all necessary calculations
for (int band=0; band<g_maxBand; band++) {
g_oNormList[band]->Solve(sType);
}
}
// Print gathered statistics to the gui and the print file
int validCnt = 0;
int invalidCnt = 0;
if (processOpt != "APPLY") {
PvlGroup results("Results");
// Compute the number valid and invalid overlaps
for (unsigned int o=0; o<g_overlapList.size(); o++) {
for (int band=1; band<=g_maxBand; band++) {
if (g_overlapList[o].IsValid(band)) validCnt++;
else invalidCnt++;
}
}
results += PvlKeyword("TotalOverlaps", validCnt+invalidCnt);
results += PvlKeyword("ValidOverlaps", validCnt);
results += PvlKeyword("InvalidOverlaps", invalidCnt);
std::string weightStr = "false";
if (wtopt) weightStr = "true";
results += PvlKeyword("Weighted", weightStr);
results += PvlKeyword("MinCount", mincnt);
// Name and band modifiers for each image
for (unsigned int img=0; img<imageList.size(); img++) {
results += PvlKeyword("FileName", imageList[img]);
// Band by band statistics
for (int band=1; band<=g_maxBand; band++) {
iString mult (g_oNormList[band-1]->Gain(img));
iString base (g_oNormList[band-1]->Offset(img));
iString avg (g_oNormList[band-1]->Average(img));
iString bandNum (band);
std::string bandStr = "Band" + bandNum;
PvlKeyword bandStats(bandStr);
bandStats += mult;
bandStats += base;
bandStats += avg;
results += bandStats;
}
}
// Write the results to the log
Application::Log(results);
}
// Setup the output text file if the user requested one
if (ui.WasEntered("OUTSTATS")) {
PvlObject equ("EqualizationInformation");
PvlGroup gen("General");
gen += PvlKeyword("TotalOverlaps", validCnt+invalidCnt);
gen += PvlKeyword("ValidOverlaps", validCnt);
gen += PvlKeyword("InvalidOverlaps", invalidCnt);
std::string weightStr = "false";
if (wtopt) weightStr = "true";
gen += PvlKeyword("Weighted", weightStr);
gen += PvlKeyword("MinCount", mincnt);
equ.AddGroup(gen);
for (unsigned int img=0; img<imageList.size(); img++) {
// Format and name information
PvlGroup norm("Normalization");
norm.AddComment("Formula: newDN = (oldDN - AVERAGE) * GAIN + AVERAGE + OFFSET");
norm.AddComment("BandN = (GAIN, OFFSET, AVERAGE)");
norm += PvlKeyword("FileName", imageList[img]);
// Band by band statistics
for (int band=1; band<=g_maxBand; band++) {
iString mult (g_oNormList[band-1]->Gain(img));
iString base (g_oNormList[band-1]->Offset(img));
iString avg (g_oNormList[band-1]->Average(img));
iString bandNum (band);
std::string bandStr = "Band" + bandNum;
PvlKeyword bandStats(bandStr);
bandStats += mult;
bandStats += base;
bandStats += avg;
norm += bandStats;
}
equ.AddGroup(norm);
}
// Write the equalization and overlap statistics to the file
std::string out = Filename(ui.GetFilename("OUTSTATS")).Expanded();
std::ofstream os;
os.open(out.c_str(),std::ios::app);
Pvl p;
p.SetTerminator("");
p.AddObject(equ);
os << p << std::endl;
for (unsigned int i=0; i<g_overlapList.size(); i++) {
os << g_overlapList[i];
if (i != g_overlapList.size()-1) os << std::endl;
}
os << "End";
}
// Check for errors with the input statistics
if (processOpt == "APPLY") {
Pvl inStats (ui.GetFilename("INSTATS"));
PvlObject &equalInfo = inStats.FindObject("EqualizationInformation");
// Make sure each file in the instats matches a file in the fromlist
if (imageList.size() > (unsigned)equalInfo.Groups()-1) {
std::string msg = "Each input file in the FROM LIST must have a ";
msg += "corresponding input file in the INPUT STATISTICS.";
throw iException::Message(iException::User,msg,_FILEINFO_);
}
// Check that each file in the FROM LIST is present in the INPUT STATISTICS
for (unsigned i = 0; i < imageList.size(); i++) {
std::string fromFile = imageList[i];
bool foundFile = false;
for (int j = 1; j < equalInfo.Groups(); j++) {
PvlGroup &normalization = equalInfo.Group(j);
std::string normFile = normalization["Filename"][0];
if (fromFile == normFile) {
// Store the index in INPUT STATISTICS file corresponding to the
// current FROM LIST file
normIndices.push_back(j);
foundFile = true;
}
}
if (!foundFile) {
std::string msg = "The from list file [" + fromFile +
"] does not have any corresponding file in the stats list.";
throw iException::Message(iException::User,msg,_FILEINFO_);
}
}
}
// Apply the correction to the images if the user wants this done
if (processOpt != "CALCULATE") {
iString maxCubeStr ((int)imageList.size());
for (int img=0; img<(int)imageList.size(); img++) {
// Set up for progress bar
ProcessByLine p;
iString curCubeStr (img+1);
p.Progress()->SetText("Equalizing Cube " + curCubeStr + " of " + maxCubeStr);
// Open input cube
CubeAttributeInput att;
const std::string inp = imageList[img];
Cube *icube = p.SetInputCube(inp, att);
// Establish the output file depending upon whether or not a to list
// was entered
std::string out;
if (ui.WasEntered("TOLIST")) {
out = outList[img];
}
else {
Filename file = imageList[img];
out = file.Path() + "/" + file.Basename() + ".equ." + file.Extension();
}
// Allocate output cube
CubeAttributeOutput outAtt;
p.SetOutputCube(out,outAtt,icube->Samples(),icube->Lines(),icube->Bands());
// Apply gain/offset to the image
g_imageIndex = img;
if (processOpt == "APPLY") {
// Apply correction based on pre-determined statistics information
Pvl inStats (ui.GetFilename("INSTATS"));
PvlObject &equalInfo = inStats.FindObject("EqualizationInformation");
PvlGroup &normalization = equalInfo.Group(normIndices[g_imageIndex]);
gains.clear();
offsets.clear();
avgs.clear();
// Get and store the modifiers for each band
for (int band = 1; band < normalization.Keywords(); band++) {
gains.push_back(normalization[band][0]);
offsets.push_back(normalization[band][1]);
avgs.push_back(normalization[band][2]);
}
p.StartProcess(ApplyViaFile);
}
else {
// Apply correction based on the statistics gathered in this run
p.StartProcess(ApplyViaObject);
}
p.EndProcess();
}
}
// Clean-up for batch list runs
for (unsigned int o=0; o<g_oNormList.size(); o++) delete g_oNormList[o];
g_oNormList.clear();
g_overlapList.clear();
normIndices.clear();
gains.clear();
offsets.clear();
avgs.clear();
}
// Checks for user input errors where present and attempts to correct them
// where possible
void ErrorCheck(FileList &imageList, FileList &outList) {
UserInterface &ui = Application::GetUserInterface();
// Ensures number of images is within bound
if (imageList.size() < 2) {
std::string msg = "The input file [" + ui.GetFilename("FROMLIST") +
"] must contain at least 2 file names";
throw iException::Message(iException::User,msg,_FILEINFO_);
}
if (imageList.size() > 10) {
std::string msg = "The input file [" + ui.GetFilename("FROMLIST") +
"] cannot contain more than 10 file names";
throw iException::Message(iException::User,msg,_FILEINFO_);
}
// Make sure the user enters a "OUTSTATS" file if the apply option is not selected
if (!ui.GetBoolean("APPLY")) {
if (!ui.WasEntered("OUTSTATS")) {
std::string msg = "If the apply option is not selected, you must enter a";
msg += " OUTSTATS file";
throw iException::Message(iException::User,msg,_FILEINFO_);
}
}
// Reference for converting a CPMM number to a CCD number
const int cpmm2ccd[] = {0,1,2,3,12,4,10,11,5,13,6,7,8,9};
// Place ccd in vector, try-catch opening cubes
std::vector<int> ccds;
for (int i=0; i<(int)imageList.size(); i++) {
try {
Cube cube1;
cube1.Open(imageList[i]);
PvlGroup &from1Instrument = cube1.GetGroup("INSTRUMENT");
int cpmmNumber = from1Instrument["CpmmNumber"];
ccds.push_back(cpmm2ccd[cpmmNumber]);
}
// If any part of the above didn't work, we can safely assume the current
// file is not a valid HiRise image
catch (...) {
std::string msg = "The [" + imageList[i] +
"] file is not a valid HiRise image";
throw iException::Message(iException::User,msg,_FILEINFO_);
}
}
// Error check TO LIST if was entered
if (ui.WasEntered("TOLIST")) {
// Make sure each file in the tolist matches a file in the fromlist
if (outList.size() != imageList.size()) {
std::string msg = "Each input file in the FROM LIST must have a ";
msg += "corresponding output file in the TO LIST.";
throw iException::Message(iException::User,msg,_FILEINFO_);
}
// Make sure that all output files do not have the same names as their
// corresponding input files
for (unsigned i = 0; i < outList.size(); i++) {
if (outList[i].compare(imageList[i]) == 0) {
std::string msg = "The TO LIST file [" + outList[i] +
"] has the same name as its corresponding FROM LIST file.";
throw iException::Message(iException::User,msg,_FILEINFO_);
}
}
}
// Insertion sorts a list of filenames by their CCD numbers
for (int i=1; i<(int)imageList.size(); i++) {
int ccd1 = ccds[i];
std::string temp = imageList[i];
std::string outFile = (ui.WasEntered("TOLIST")) ? outList[i] : NULL;
int j=i-1;
int ccd2 = ccds[j];
while (j >= 0 && ccd2 > ccd1) {
imageList[j+1] = imageList[j];
ccds[j+1] = ccds[j];
if (ui.WasEntered("TOLIST")) outList[j+1] = outList[j];
j--;
if (j >= 0) {
ccd2 = ccds[j];
}
}
imageList[j+1] = temp;
ccds[j+1] = ccd1;
if (ui.WasEntered("TOLIST")) outList[j+1] = outFile;
}
// Ensures BG and IR only have two files
if (ccds[0] == 10 || ccds[0] == 11) {
if (imageList.size() != 2) {
std::string msg = "A list of IR images must have exactly two ";
msg += "file names";
throw iException::Message(iException::User,msg,_FILEINFO_);
}
}
if (ccds[0] == 12 || ccds[0] == 13) {
if (imageList.size() != 2) {
std::string msg = "A list of BG images must have exactly two ";
msg += "file names";
throw iException::Message(iException::User,msg,_FILEINFO_);
}
}
// Error checking to ensure CCDID types match and the filenames follow a
// strict sequence
for (int i=0; i<(int)imageList.size()-1; i++) {
int ccd1 = ccds[i];
// CCDID type
int id1;
// RED
if (ccd1 >= 0 && ccd1 <= 9) id1 = 0;
// IR
else if (ccd1 == 10 || ccd1 == 11) id1 = 1;
// BG
else id1 = 2;
int ccd2 = ccds[i+1];
int id2;
if (ccd2 >= 0 && ccd2 <= 9) id2 = 0;
else if (ccd2 == 10 || ccd2 == 11) id2 = 1;
else id2 = 2;
// CCDID types don't match
if (id1 != id2) {
std::string msg = "The list of input images must be all RED, all IR, or ";
msg += "all BG";
throw iException::Message(iException::User,msg,_FILEINFO_);
}
// Doesn't follow strict sequence for RED CCDID
if (ccd2 != ccd1+1) {
std::string msg = "The list of input images do not numerically follow ";
msg += "one another";
throw iException::Message(iException::User,msg,_FILEINFO_);
}
}
// Make sure each file in the holdlist matches a file in the fromlist
FileList holdList;
holdList.Read(ui.GetFilename("HOLD"));
if (holdList.size() > imageList.size()) {
std::string msg = "The list of identifiers to be held must be less than or ";
msg += "equal to the total number of identitifers.";
throw iException::Message(iException::User,msg,_FILEINFO_);
}
for (int i=0; i<(int)holdList.size(); i++) {
bool matched = false;
for (int j=0; j<(int)imageList.size(); j++) {
if (holdList[i] == imageList[j]) {
matched = true;
break;
}
}
if (!matched) {
std::string msg = "The hold list file [" + holdList[i] +
"] does not match a file in the from list";
throw iException::Message(iException::User,msg,_FILEINFO_);
}
}
}
void IsisMain() {
Process p;
// Get the list of names of input CCD cubes to stitch together
FileList flist;
UserInterface &ui = Application::GetUserInterface();
flist.Read(ui.GetFilename("FROMLIST"));
if (flist.size() < 1) {
string msg = "The list file[" + ui.GetFilename("FROMLIST") +
" does not contain any filenames";
throw iException::Message(iException::User,msg,_FILEINFO_);
}
string projection("Equirectangular");
if(ui.WasEntered("MAP")) {
Pvl mapfile(ui.GetFilename("MAP"));
projection = (string) mapfile.FindGroup("Mapping")["ProjectionName"];
}
if(ui.WasEntered("PROJECTION")) {
projection = ui.GetString("PROJECTION");
}
// Gather other user inputs to projection
string lattype = ui.GetString("LATTYPE");
string londir = ui.GetString("LONDIR");
string londom = ui.GetString("LONDOM");
int digits = ui.GetInteger("PRECISION");
// Fix them for mapping group
lattype = (lattype == "PLANETOCENTRIC") ? "Planetocentric" : "Planetographic";
londir = (londir == "POSITIVEEAST") ? "PositiveEast" : "PositiveWest";
Progress prog;
prog.SetMaximumSteps(flist.size());
prog.CheckStatus();
Statistics scaleStat;
Statistics longitudeStat;
Statistics latitudeStat;
Statistics equiRadStat;
Statistics poleRadStat;
PvlObject fileset("FileSet");
// Save major equitorial and polar radii for last occuring
double eqRad;
double eq2Rad;
double poleRad;
string target("Unknown");
for (unsigned int i = 0 ; i < flist.size() ; i++) {
// Set the input image, get the camera model, and a basic mapping
// group
Cube cube;
cube.Open(flist[i]);
int lines = cube.Lines();
int samples = cube.Samples();
PvlObject fmap("File");
fmap += PvlKeyword("Name",flist[i]);
fmap += PvlKeyword("Lines", lines);
fmap += PvlKeyword("Samples", samples);
Camera *cam = cube.Camera();
Pvl mapping;
cam->BasicMapping(mapping);
PvlGroup &mapgrp = mapping.FindGroup("Mapping");
mapgrp.AddKeyword(PvlKeyword("ProjectionName",projection),Pvl::Replace);
mapgrp.AddKeyword(PvlKeyword("LatitudeType",lattype),Pvl::Replace);
mapgrp.AddKeyword(PvlKeyword("LongitudeDirection",londir),Pvl::Replace);
mapgrp.AddKeyword(PvlKeyword("LongitudeDomain",londom),Pvl::Replace);
// Get the radii
double radii[3];
cam->Radii(radii);
eqRad = radii[0] * 1000.0;
eq2Rad = radii[1] * 1000.0;
poleRad = radii[2] * 1000.0;
target = cam->Target();
equiRadStat.AddData(&eqRad, 1);
poleRadStat.AddData(&poleRad, 1);
// Get resolution
double lowres = cam->LowestImageResolution();
double hires = cam->HighestImageResolution();
scaleStat.AddData(&lowres, 1);
scaleStat.AddData(&hires, 1);
double pixres = (lowres+hires)/2.0;
double scale = Scale(pixres, poleRad, eqRad);
mapgrp.AddKeyword(PvlKeyword("PixelResolution",pixres),Pvl::Replace);
mapgrp.AddKeyword(PvlKeyword("Scale",scale,"pixels/degree"),Pvl::Replace);
mapgrp += PvlKeyword("MinPixelResolution",lowres,"meters");
mapgrp += PvlKeyword("MaxPixelResolution",hires,"meters");
// Get the universal ground range
double minlat,maxlat,minlon,maxlon;
cam->GroundRange(minlat,maxlat,minlon,maxlon,mapping);
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);
fmap.AddGroup(mapgrp);
fileset.AddObject(fmap);
longitudeStat.AddData(&minlon, 1);
longitudeStat.AddData(&maxlon, 1);
latitudeStat.AddData(&minlat, 1);
latitudeStat.AddData(&maxlat, 1);
p.ClearInputCubes();
prog.CheckStatus();
}
// Construct the output mapping group with statistics
PvlGroup mapping("Mapping");
double avgPixRes((scaleStat.Minimum()+scaleStat.Maximum())/2.0);
double avgLat((latitudeStat.Minimum()+latitudeStat.Maximum())/2.0);
double avgLon((longitudeStat.Minimum()+longitudeStat.Maximum())/2.0);
double avgEqRad((equiRadStat.Minimum()+equiRadStat.Maximum())/2.0);
double avgPoleRad((poleRadStat.Minimum()+poleRadStat.Maximum())/2.0);
double scale = Scale(avgPixRes, avgPoleRad, avgEqRad);
mapping += PvlKeyword("ProjectionName",projection);
mapping += PvlKeyword("TargetName", target);
mapping += PvlKeyword("EquatorialRadius",eqRad,"meters");
mapping += PvlKeyword("PolarRadius",poleRad,"meters");
mapping += PvlKeyword("LatitudeType",lattype);
mapping += PvlKeyword("LongitudeDirection",londir);
mapping += PvlKeyword("LongitudeDomain",londom);
mapping += PvlKeyword("PixelResolution", SetRound(avgPixRes, digits), "meters/pixel");
mapping += PvlKeyword("Scale", SetRound(scale, digits), "pixels/degree");
mapping += PvlKeyword("MinPixelResolution",scaleStat.Minimum(),"meters");
mapping += PvlKeyword("MaxPixelResolution",scaleStat.Maximum(),"meters");
mapping += PvlKeyword("CenterLongitude", SetRound(avgLon,digits));
mapping += PvlKeyword("CenterLatitude", SetRound(avgLat,digits));
mapping += PvlKeyword("MinimumLatitude", MAX(SetFloor(latitudeStat.Minimum(),digits), -90.0));
mapping += PvlKeyword("MaximumLatitude", MIN(SetCeil(latitudeStat.Maximum(),digits), 90.0));
mapping += PvlKeyword("MinimumLongitude",MAX(SetFloor(longitudeStat.Minimum(),digits), -180.0));
mapping += PvlKeyword("MaximumLongitude",MIN(SetCeil(longitudeStat.Maximum(),digits), 360.0));
PvlKeyword clat("PreciseCenterLongitude", avgLon);
clat.AddComment("Actual Parameters without precision applied");
mapping += clat;
mapping += PvlKeyword("PreciseCenterLatitude", avgLat);
mapping += PvlKeyword("PreciseMinimumLatitude", latitudeStat.Minimum());
mapping += PvlKeyword("PreciseMaximumLatitude", latitudeStat.Maximum());
mapping += PvlKeyword("PreciseMinimumLongitude",longitudeStat.Minimum());
mapping += PvlKeyword("PreciseMaximumLongitude",longitudeStat.Maximum());
Application::GuiLog(mapping);
// Write the output file if requested
if (ui.WasEntered("TO")) {
Pvl temp;
temp.AddGroup(mapping);
temp.Write(ui.GetFilename("TO","map"));
}
if (ui.WasEntered("LOG")) {
Pvl temp;
temp.AddObject(fileset);
temp.Write(ui.GetFilename("LOG","log"));
}
p.EndProcess();
}
void IsisMain() {
// Get the list of cubes to process
FileList imageList;
UserInterface &ui = Application::GetUserInterface();
imageList.Read(ui.GetFilename("FROMLIST"));
// Read to list if one was entered
FileList outList;
if (ui.WasEntered("TOLIST")) {
outList.Read(ui.GetFilename("TOLIST"));
}
// Check for user input errors and return the file list sorted by CCD numbers
ErrorCheck(imageList, outList);
// Adds statistics for whole and side regions of every cube
for (int img=0; img<(int)imageList.size(); img++) {
g_s.Reset();
g_sl.Reset();
g_sr.Reset();
iString maxCube ((int)imageList.size());
iString curCube (img+1);
ProcessByLine p;
p.Progress()->SetText("Gathering Statistics for Cube " +
curCube + " of " + maxCube);
CubeAttributeInput att;
const std::string inp = imageList[img];
p.SetInputCube(inp, att);
p.StartProcess(GatherStatistics);
p.EndProcess();
g_allStats.push_back(g_s);
g_leftStats.push_back(g_sl);
g_rightStats.push_back(g_sr);
}
// Initialize the object that will calculate the gains and offsets
g_oNorm = new OverlapNormalization(g_allStats);
// Add the known overlaps between two cubes, and apply a weight to each
// overlap equal the number of pixels in the overlapping area
for (int i=0; i<(int)imageList.size()-1; i++) {
int j = i+1;
g_oNorm->AddOverlap(g_rightStats[i], i, g_leftStats[j], j,
g_rightStats[i].ValidPixels());
}
// Read in and then set the holdlist
FileList holdList;
holdList.Read(ui.GetFilename("HOLD"));
for (unsigned i=0; i<holdList.size(); i++) {
int index = -1;
for (unsigned j=0; j<imageList.size(); j++) {
std::string curName = imageList.at(j);
if (curName.compare(holdList[i]) == 0) {
index = j;
g_oNorm->AddHold(index);
}
}
}
// Attempt to solve the least squares equation
g_oNorm->Solve(OverlapNormalization::Both);
// Apply correction to the cubes if desired
bool applyopt = ui.GetBoolean("APPLY");
if (applyopt) {
// Loop through correcting the gains and offsets by line for every cube
for (int img=0; img<(int)imageList.size(); img++) {
g_imageNum = img;
ProcessByLine p;
iString max_cube ((int)imageList.size());
iString cur_cube (img+1);
p.Progress()->SetText("Equalizing Cube " + cur_cube + " of " + max_cube);
CubeAttributeInput att;
const std::string inp = imageList[img];
Cube *icube = p.SetInputCube(inp, att);
Filename file = imageList[img];
// Establish the output file depending upon whether or not a to list
// was entered
std::string out;
if (ui.WasEntered("TOLIST")) {
out = outList[img];
}
else {
Filename file = imageList[img];
out = file.Path() + "/" + file.Basename() + ".equ." + file.Extension();
}
CubeAttributeOutput outAtt;
p.SetOutputCube(out,outAtt,icube->Samples(),icube->Lines(),icube->Bands());
p.StartProcess(Apply);
p.EndProcess();
}
}
// Setup the output text file if the user requested one
if (ui.WasEntered("OUTSTATS")) {
std::string out = Filename(ui.GetFilename("OUTSTATS")).Expanded();
std::ofstream os;
os.open(out.c_str(),std::ios::app);
// Get statistics for each cube with PVL
Pvl p;
PvlObject equ("EqualizationInformation");
for (int img=0; img<(int)imageList.size(); img++) {
std::string cur = imageList[img];
PvlGroup a("Adjustment");
a += PvlKeyword("FileName", cur);
a += PvlKeyword("Average", g_oNorm->Average(img));
a += PvlKeyword("Base", g_oNorm->Offset(img));
a += PvlKeyword("Multiplier", g_oNorm->Gain(img));
equ.AddGroup(a);
}
p.AddObject(equ);
os << p << std::endl;
}
PvlGroup results ("Results");
for (int img=0; img<(int)imageList.size(); img++) {
results += PvlKeyword("FileName", imageList[img]);
results += PvlKeyword("Average", g_oNorm->Average(img));
results += PvlKeyword("Base", g_oNorm->Offset(img));
results += PvlKeyword("Multiplier", g_oNorm->Gain(img));
}
Application::Log(results);
// Clean-up for batch list runs
delete g_oNorm;
g_oNorm = NULL;
g_allStats.clear();
g_leftStats.clear();
g_rightStats.clear();
}
void IsisMain() {
UserInterface &ui = Application::GetUserInterface();
/*Processing steps
1. Open and read the jitter table, convert the pixel offsets to angles,
and create the polynomials (solve for the coefficients) to use to do
the high pass filter putting the results into a rotation matrix in the jitter class.
2. Apply the jitter correction in the LineScanCameraRotation object of the master cube.
3. Loop through FROMLIST correcting the pointing and writing out the
updated camera pointing from the master cube
*/
int degree = ui.GetInteger("DEGREE");
// Get the input file list to make sure it is not empty and the master cube is included
FileList list;
list.Read(ui.GetFilename("FROMLIST"));
if (list.size() < 1) {
string msg = "The input list file [" + ui.GetFilename("FROMLIST") + "is empty";
throw iException::Message(iException::User,msg,_FILEINFO_);
}
int ifile = 0;
// Make sure the master file is included in the input file list
while (ifile < (int) list.size() && Filename(list[ifile]).Expanded() != Filename(ui.GetFilename("MASTER")).Expanded()) {
ifile++;
}
if (ifile >= (int) list.size()) {
string msg = "The master file, [" + Filename(ui.GetFilename("MASTER")).Expanded() + " is not included in " +
"the input list file " + ui.GetFilename("FROMLIST") + "]";
throw iException::Message(iException::User,msg,_FILEINFO_);
}
bool step2 = false;
PvlGroup gp("AppjitResults");
//Step 1: Create the jitter rotation
try {
// Open the master cube
Cube cube;
cube.Open(ui.GetFilename("MASTER"),"rw");
//check for existing polygon, if exists delete it
if (cube.Label()->HasObject("Polygon")){
cube.Label()->DeleteObject("Polygon");
}
// Get the camera
Camera *cam = cube.Camera();
if (cam->DetectorMap()->LineRate() == 0.0) {
string msg = "[" + ui.GetFilename("MASTER") + "] is not a line scan camera image";
throw iException::Message(Isis::iException::User,msg,_FILEINFO_);
}
// Create the master rotation to be corrected
int frameCode = cam->InstrumentRotation()->Frame();
cam->SetImage(int(cube.Samples()/2), int(cube.Lines()/2) );
double tol = cam->PixelResolution();
if (tol < 0.) {
// Alternative calculation of .01*ground resolution of a pixel
tol = cam->PixelPitch()*cam->SpacecraftAltitude()*1000./cam->FocalLength()/100.;
}
LineScanCameraRotation crot(frameCode, *(cube.Label()), cam->InstrumentRotation()->GetFullCacheTime(), tol );
crot.SetPolynomialDegree(ui.GetInteger("DEGREE"));
crot.SetAxes(1, 2, 3);
if (ui.WasEntered("PITCHRATE")) crot.ResetPitchRate(ui.GetDouble("PITCHRATE"));
if (ui.WasEntered("YAW")) crot.ResetYaw(ui.GetDouble("YAW"));
crot.SetPolynomial();
double baseTime = crot.GetBaseTime();
double timeScale = crot.GetTimeScale();
double fl = cam->FocalLength();
double pixpitch = cam->PixelPitch();
std::vector<double> cacheTime = cam->InstrumentRotation()->GetFullCacheTime();
// Get the jitter in pixels, compute jitter angles, and fit a polynomial to each angle
PixelOffset jitter(ui.GetFilename("JITTERFILE"), fl, pixpitch, baseTime, timeScale, degree);
jitter.LoadAngles(cacheTime);
jitter.SetPolynomial();
// Set the jitter and apply to the instrument rotation
crot.SetJitter( &jitter );
crot.ReloadCache();
// Pull out the pointing cache as a table and write it
Table cmatrix = crot.Cache("InstrumentPointing");
cmatrix.Label().AddComment("Corrected using appjit and" + ui.GetFilename("JITTERFILE"));
cube.Write(cmatrix);
// Write out the instrument position table
Isis::PvlGroup kernels = cube.Label()->FindGroup("Kernels",Isis::Pvl::Traverse);
// Write out the "Table" label to the tabled kernels in the kernels group
kernels["InstrumentPointing"] = "Table";
// kernels["InstrumentPosition"] = "Table";
cube.PutGroup(kernels);
cube.Close();
gp += PvlKeyword("StatusMaster",ui.GetFilename("MASTER") + ": camera pointing updated");
// Apply the dejittered pointing to the rest of the files
step2 = true;
for (int ifile = 0; ifile < (int) list.size(); ifile++) {
if (list[ifile] != ui.GetFilename("MASTER")) {
// Open the cube
cube.Open(list[ifile],"rw");
//check for existing polygon, if exists delete it
if (cube.Label()->HasObject("Polygon")){
cube.Label()->DeleteObject("Polygon");
}
// Get the camera and make sure it is a line scan camera
Camera *cam = cube.Camera();
if (cam->DetectorMap()->LineRate() == 0.0) {
string msg = "[" + ui.GetFilename("FROM") + "] is not a line scan camera";
throw iException::Message(Isis::iException::User,msg,_FILEINFO_);
}
// Pull out the pointing cache as a table and write it
cube.Write(cmatrix);
cube.PutGroup(kernels);
cube.Close();
gp += PvlKeyword("Status" + iString(ifile), list[ifile] + ": camera pointing updated");
}
}
Application::Log( gp );
}
catch (iException &e) {
string msg;
if (!step2) {
msg = "Unable to fit pointing for [" + ui.GetFilename("MASTER") + "]";
}
else {
msg = "Unable to update pointing for nonMaster file(s)";
}
throw iException::Message(Isis::iException::User,msg,_FILEINFO_);
}
}