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#define TEAGN_ENABLE_STDOUT_LOG
#include <TePDIExamplesBase.hpp>
#include <TePDISAMClassifier.hpp>
#include <TePDIIsosegClas.hpp>
#include <TePDIKMeansClas.hpp>
#include <TePDIEMClas.hpp>
#include <TePDIRegGrowSeg.hpp>
#include <TePDIUtils.hpp>
#include <TeInitRasterDecoders.h>
#include <TeProgress.h>
#include <TeStdIOProgress.h>
#include <TeAgnostic.h>
#include <vector>
void buildData( TePolygonSet& polset, TePDITypes::TePDIRasterPtrType& raster )
{
TePDIParameters params;
params.SetParameter( "input_image", raster );
TePDITypes::TePDIPolSetMapPtrType output_polsets(
new TePDITypes::TePDIPolSetMapType );
params.SetParameter( "output_polsets", output_polsets );
params.SetParameter( "euc_treshold", (double)20 );
params.SetParameter( "area_min", (int)15 );
TePDIRegGrowSeg segmenter;
TEAGN_TRUE_OR_THROW( segmenter.Reset(params), "Reset failed" );
TEAGN_TRUE_OR_THROW( segmenter.Apply(), "Apply error" );
TePDITypes::TePDIPolSetMapType::iterator psmap_it =
output_polsets->begin();
TePDITypes::TePDIPolSetMapType::iterator psmap_it_end =
output_polsets->end();
polset.clear();
while( psmap_it != psmap_it_end ) {
TePolygonSet::iterator ps_it = psmap_it->second.begin();
TePolygonSet::iterator ps_it_end = psmap_it->second.end();
while( ps_it != ps_it_end ) {
polset.add( *ps_it );
++ps_it;
}
++psmap_it;
}
}
void TePDISAMClassifier_test( TePDITypes::TePDIRasterPtrType& raster)
{
// Initiating the output RAM raster
TePDITypes::TePDIRasterPtrType output_raster;
TEAGN_TRUE_OR_THROW(TePDIUtils::TeAllocRAMRaster( output_raster, 1, 1, 1,
false, TeUNSIGNEDCHAR, 0), "output_raster Alloc error");
// Creating the vector of input raster used bands
std::vector< unsigned int > bands;
bands.push_back(0);
bands.push_back(1);
bands.push_back(2);
// Creating the spectral samples vector
TePDISAMClassifier::ClassSpectralSamples class1Samples;
class1Samples.classId_ = 80;
class1Samples.maxAngularDist_ = 0.2;
class1Samples.samplesMatrix_.Reset( 1, 3 ); // one sample, 3 bands
class1Samples.samplesMatrix_( 0, 0) = 166;
class1Samples.samplesMatrix_( 0, 1) = 255;
class1Samples.samplesMatrix_( 0, 2) = 255;
TePDISAMClassifier::ClassSpectralSamples class2Samples;
class2Samples.classId_ = 155;
class2Samples.maxAngularDist_ = 0.2;
class2Samples.samplesMatrix_.Reset( 1, 3 ); // one sample, 3 bands
class2Samples.samplesMatrix_( 0, 0) = 36;
class2Samples.samplesMatrix_( 0, 1) = 255;
class2Samples.samplesMatrix_( 0, 2) = 76;
TePDISAMClassifier::ClassSpectralSamples class3Samples;
class3Samples.classId_ = 255;
class2Samples.maxAngularDist_ = 0.2;
class3Samples.samplesMatrix_.Reset( 1, 3 ); // one sample, 3 bands
class3Samples.samplesMatrix_( 0, 0) = 36;
class3Samples.samplesMatrix_( 0, 1) = 36;
class3Samples.samplesMatrix_( 0, 2) = 76;
TePDISAMClassifier::SpectralSamplesVecPtrT spectral_samples( new
TePDISAMClassifier::SpectralSamplesVectorT );
spectral_samples->push_back( class1Samples );
spectral_samples->push_back( class2Samples );
spectral_samples->push_back( class3Samples );
TePDIParameters params;
params.SetParameter("input_raster", raster);
params.SetParameter("bands", bands);
params.SetParameter("output_raster", output_raster);
params.SetParameter("spectral_samples", spectral_samples);
params.SetParameter("output_raster", output_raster);
params.SetParameter("enable_multi_thread", (int)1);
TePDISAMClassifier classification;
TEAGN_TRUE_OR_THROW(classification.Reset(params), "Reset failed");
TEAGN_TRUE_OR_THROW(classification.Apply(), "Apply error");
TEAGN_TRUE_OR_THROW(TePDIUtils::TeRaster2Geotiff(output_raster,
TEPDIEXAMPLESBINPATH "TePDISAMClassifier_test.tif"),
"GeoTIF generation error");
}
void IsosegClassification_test( TePolygonSet& polset,
TePDITypes::TePDIRasterPtrType& raster)
{
TePDIParameters params;
vector<int> bands;
bands.push_back(0);
bands.push_back(1);
bands.push_back(2);
params.SetParameter("bands", bands);
TePDITypes::TePDIRasterVectorType input_rasters;
input_rasters.push_back( raster );
input_rasters.push_back( raster );
input_rasters.push_back( raster );
params.SetParameter("input_rasters", input_rasters);
TePDITypes::TePDIPolygonSetPtrType input_polygonset( &polset, true );
params.SetParameter("input_polygonset", input_polygonset);
TePDITypes::TePDIRasterPtrType output_raster;
TEAGN_TRUE_OR_THROW(TePDIUtils::TeAllocRAMRaster( output_raster, 1, 1, 1,
false, TeDOUBLE, 0), "output_raster Alloc error");
params.SetParameter("output_raster", output_raster);
params.SetParameter("acceptance_limiar", (double)90.0);
TePDIIsosegClas classification;
TEAGN_TRUE_OR_THROW(classification.Reset(params), "Reset failed");
TEAGN_TRUE_OR_THROW(classification.Apply(), "Apply error");
TEAGN_TRUE_OR_THROW(TePDIUtils::TeRaster2Geotiff(output_raster,
TEPDIEXAMPLESBINPATH "Classification_Isoseg_test.tif"), "GeoTIF generation error");
}
void KMeansClassification_test( TePDITypes::TePDIRasterPtrType& raster)
{
TePDIParameters params;
params.SetParameter("input_raster", raster);
TePDITypes::TePDIRasterPtrType output_raster;
TEAGN_TRUE_OR_THROW(TePDIUtils::TeAllocRAMRaster( output_raster, 1, 1, 1,
false, TeDOUBLE, 0), "output_raster Alloc error");
params.SetParameter("output_raster", output_raster);
vector<int> bands;
bands.push_back(0);
bands.push_back(1);
bands.push_back(2);
params.SetParameter("bands", bands);
params.SetParameter("classes_number", (int)10);
params.SetParameter("sample", (int)1);
params.SetParameter("iterations_number", (int)10);
params.SetParameter("line_begin", (int)0);
params.SetParameter("line_end", (int)( raster->params().nlines_ - 1 ) );
params.SetParameter("column_begin", (int)0);
params.SetParameter("column_end", (int)( raster->params().ncols_ - 1 ) );
TePDIKMeansClas classification;
TEAGN_TRUE_OR_THROW(classification.Reset(params), "Reset failed");
TEAGN_TRUE_OR_THROW(classification.Apply(), "Apply error");
TEAGN_TRUE_OR_THROW(TePDIUtils::TeRaster2Geotiff(output_raster,
TEPDIEXAMPLESBINPATH "KMeansClassification_test.tif"), "GeoTIF generation error");
}
void EMClassification_test( TePDITypes::TePDIRasterPtrType& raster)
{
TePDIParameters params;
TePDITypes::TePDIRasterVectorType input_rasters;
input_rasters.push_back( raster );
input_rasters.push_back( raster );
input_rasters.push_back( raster );
params.SetParameter("input_rasters", input_rasters);
vector<int> bands;
bands.push_back(0);
bands.push_back(1);
bands.push_back(2);
params.SetParameter("bands", bands);
params.SetParameter("classes_to_find", (int)5);
TePDITypes::TePDIRasterPtrType output_raster;
TEAGN_TRUE_OR_THROW(TePDIUtils::TeAllocRAMRaster( output_raster, 1, 1, 1,
false, TeDOUBLE, 0), "output_raster Alloc error");
params.SetParameter("output_raster", output_raster);
params.SetParameter("sx", (int)5);
params.SetParameter("sy", (int)5);
params.SetParameter("max_iterations", (int)3);
params.SetParameter("epsilon", (double)3.5);
params.SetParameter("shift_threshold", (double)35);
TePDIEMClas classification;
TEAGN_TRUE_OR_THROW(classification.Reset(params), "Factory make failed");
TEAGN_TRUE_OR_THROW(classification.Apply(), "Apply error");
TEAGN_TRUE_OR_THROW(TePDIUtils::TeRaster2Geotiff(output_raster,
TEPDIEXAMPLESBINPATH "EMClassification_test.tif"), "GeoTIF generation error");
}
int main()
{
TEAGN_LOGMSG("Test started.");
try
{
TeInitRasterDecoders();
TeStdIOProgress pi;
TeProgress::setProgressInterf(dynamic_cast< TeProgressBase* >(&pi));
/* Opening image */
TePDITypes::TePDIRasterPtrType raster;
TEAGN_TRUE_OR_THROW( TePDIUtils::loadRaster(
std::string( TEPDIEXAMPLESRESPATH "cbers_rgb342_crop1.tif" ),
raster, true ), "Error loading raster" );
/* Polygons independent algorithms */
TePDISAMClassifier_test( raster );
EMClassification_test( raster );
KMeansClassification_test( raster );
/* Generating polygons */
TePolygonSet polset;
buildData( polset, raster );
/* Polygons dependent algorithms */
IsosegClassification_test( polset, raster );
}
catch( const TeException& excpt ){
TEAGN_LOGERR( excpt.message() )
return EXIT_FAILURE;
}
TEAGN_LOGMSG("Test OK.");
return EXIT_SUCCESS;
}
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