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() {
UserInterface &ui = Application::GetUserInterface();
ProcessByLine p;
Cube *icube = p.SetInputCube("FROM");
numIgnoredLines = 0;
cubeAverage.resize(icube->Bands());
lineAverages.resize(icube->Bands());
for(int i = 0; i < icube->Bands(); i++) {
cubeAverage[i] = 0;
lineAverages[i] = NULL;
}
int boxcarSize;
if(ui.GetString("BOXTYPE").compare("NONE") == 0) {
boxcarSize = (int)(icube->Lines() * 0.10);
}
else if(ui.GetString("BOXTYPE").compare("ABSOLUTE") == 0) {
boxcarSize = ui.GetInteger("BOXSIZE");
}
else if(ui.GetString("BOXTYPE").compare("PERCENTAGE") == 0) {
boxcarSize = (int)(((double)ui.GetInteger("BOXSIZE") / 100.0) * icube->Lines());
}
// Boxcar must be odd size
if(boxcarSize % 2 != 1) {
boxcarSize ++;
}
PvlGroup data("lineeq");
data += PvlKeyword("BoxcarSize", boxcarSize, "lines");
data += PvlKeyword("OutputCsv", ui.GetBoolean("AVERAGES"));
TextFile *csvOutput = NULL;
if(ui.GetBoolean("AVERAGES")) {
csvOutput = new TextFile(ui.GetFilename("CSV"), "overwrite", "");
csvOutput->PutLine("Average,SmoothedAvg");
data += PvlKeyword("CsvFile", ui.GetFilename("CSV"));
}
Application::Log(data);
for(int band = 0; band < icube->Bands(); band ++) {
lineAverages[band] = new double[icube->Lines()];
}
p.Progress()->SetText("Gathering line averages");
p.StartProcess(gatherAverages);
// Now filter the bands
p.Progress()->SetText("Smoothing line averages");
p.Progress()->SetMaximumSteps((icube->Bands() + 1) * icube->Lines());
p.Progress()->CheckStatus();
QuickFilter filter(icube->Lines(), boxcarSize, 1);
if(icube->Lines() <= numIgnoredLines) {
throw iException::Message(iException::User, "Image does not contain any valid data.", _FILEINFO_);
}
for(int band = 0; band < icube->Bands(); band ++) {
cubeAverage[band] /= (icube->Lines() - numIgnoredLines);
filter.AddLine(lineAverages[band]);
for(int line = 0; line < icube->Lines(); line ++) {
p.Progress()->CheckStatus();
double filteredLine = filter.Average(line);
if(csvOutput != NULL) {
csvOutput->PutLine((iString)lineAverages[band][line] + (iString)"," + (iString)filteredLine);
}
lineAverages[band][line] = filteredLine;
}
filter.RemoveLine(lineAverages[band]);
}
if(csvOutput != NULL) {
delete csvOutput; // This closes the file automatically
csvOutput = NULL;
}
p.SetOutputCube("TO");
p.Progress()->SetText("Applying Equalization");
p.StartProcess(apply);
for(int band = 0; band < icube->Bands(); band ++) {
delete [] lineAverages[band];
lineAverages[band] = NULL;
}
p.EndProcess();
}