MultiSourceClassifier input parameters. More...
#include <MultiSourceClassifierInputParameters.h>
Public Types | |
| typedef unsigned int | ClassIDT |
| CLass ID type definiton. More... | |
Public Member Functions | |
| AbstractParameters * | clone () const |
| Create a clone copy of this instance. More... | |
| MultiSourceClassifierInputParameters () | |
| MultiSourceClassifierInputParameters (const MultiSourceClassifierInputParameters &) | |
| const MultiSourceClassifierInputParameters & | operator= (const MultiSourceClassifierInputParameters ¶ms) |
| void | reset () |
| Clear all internal allocated resources and reset the parameters instance to its initial state. More... | |
| bool | serialize (te::rp::AlgorithmParametersSerializer &serializer) const |
| Returns a parameter serialization object. More... | |
| ~MultiSourceClassifierInputParameters () | |
Public Attributes | |
| std::vector< double > | m_betaValue |
| Beta values for Renyi distance container. More... | |
| std::vector< unsigned int > | m_classesIDT |
| Training class ID. More... | |
| std::vector< unsigned int > | m_classesIDT2 |
| Class ID. More... | |
| std::vector< unsigned int > | m_classesIDTest |
| Test class ID. More... | |
| std::string | m_combinationType |
| How the build the multi-source classification procedure (sum, multiplication,minimum,Hellinger,fuzzy). More... | |
| std::map< std::string, std::string > | m_dirTestSamples |
| Test samples data directory. More... | |
| std::map< std::string, std::string > | m_dirTrainingSamples |
| Training samples data directory. More... | |
| std::vector< double > | m_ENL |
| Equivalent Number of Looks container. More... | |
| te::rst::Grid * | m_extent |
| The geographic extension of the raster data. More... | |
| std::vector< std::string > | m_imageType |
| The used data model (one for each input image) (Gaussian,Gamma,IntensityPair,Wishart). More... | |
| std::vector< te::rst::Raster * > | m_inputRasterPtr |
| Input rasters. More... | |
| std::vector< std::vector< unsigned int > > | m_inputRastersBands |
| Bands to process. More... | |
| unsigned int | m_lagX |
| The horizontal correlation value. More... | |
| unsigned int | m_lagY |
| The vertical correlation value. More... | |
| std::vector< std::string > | m_nameOfSamples |
| std::vector< std::string > | m_nameOfSamplesTest |
| unsigned int | m_numberOfClassesOnTest |
| Number of classes on test. More... | |
| unsigned int | m_numberOfClassesOnTraining |
| Number of classes on training. More... | |
| unsigned int | m_numberOfColumns |
| Number of columns that all input rasters must have. More... | |
| unsigned int | m_numberOfRows |
| Number of rows that all input rasters must have. More... | |
| std::vector< int > | m_numberOfSamples |
| std::vector< int > | m_numberOfSamplesTest |
| std::vector< te::gm::Polygon > | m_polygonSamplesT |
| Training samples polygons. More... | |
| std::vector< te::gm::Polygon > | m_polygonSamplesTest |
| Test samples polygons. More... | |
| std::vector< std::vector< double > > | m_polygonSamplesTestNew |
| std::vector< std::vector< double > > | m_polygonSamplesTNew |
| Training samples polygons. More... | |
| std::vector< te::gm::Polygon * > | m_polygonsSegImage |
| Polygons of segmented image. More... | |
| std::vector< std::string > | m_radarDataRepresentationType |
| The radar data representation container. More... | |
| te::rst::Raster const * | m_rasterSegPtr |
| Input segmented raster. More... | |
| bool | m_saveDistances |
| The flag to indicate if stochastic distance values will be saved on disk. More... | |
| bool | m_savePerClassDistancesFile |
| The flag to indicate if stochastic distance values per class will be saved on disk. More... | |
| bool | m_savePerClassPValueFile |
| The flag to indicate if p-values per class will be saved on disk. More... | |
| bool | m_savePerClassStatiticsFile |
| The flag to indicate if statistic test values per class will be saved on disk. More... | |
| bool | m_savePValues |
| The flag to indicate if p-values will be saved on disk. More... | |
| bool | m_saveReportFile |
| The flag to indicate if the report will be saved on disk. More... | |
| bool | m_saveStatitics |
| The flag to indicate if statistic test values will be saved on disk. More... | |
| double | m_significanceLevel |
| The significance level. More... | |
| unsigned int | m_sourcesNumber |
| The number of different image sources. More... | |
| int | m_SRID |
| The SRID of raster data;. More... | |
| std::vector< std::string > | m_stochasticDistanceType |
| The stochastic distance type (Bhattacharyya,Triangular). More... | |
| std::vector< unsigned int > | m_vectorOrMatrixOrder |
| The lexicographic vector and covariance matrix order container. More... | |
Detailed Description
MultiSourceClassifier input parameters.
Definition at line 46 of file MultiSourceClassifierInputParameters.h.
Member Typedef Documentation
◆ ClassIDT
| typedef unsigned int te::rp::radar::MultiSourceClassifierInputParameters::ClassIDT |
CLass ID type definiton.
Definition at line 50 of file MultiSourceClassifierInputParameters.h.
Constructor & Destructor Documentation
◆ MultiSourceClassifierInputParameters() [1/2]
| te::rp::radar::MultiSourceClassifierInputParameters::MultiSourceClassifierInputParameters | ( | ) |
◆ MultiSourceClassifierInputParameters() [2/2]
| te::rp::radar::MultiSourceClassifierInputParameters::MultiSourceClassifierInputParameters | ( | const MultiSourceClassifierInputParameters & | ) |
◆ ~MultiSourceClassifierInputParameters()
| te::rp::radar::MultiSourceClassifierInputParameters::~MultiSourceClassifierInputParameters | ( | ) |
Member Function Documentation
◆ clone()
|
virtual |
Create a clone copy of this instance.
- Returns
- A clone copy of this instance.
- Note
- The caller will take the ownership of the returned pointer.
Implements te::common::AbstractParameters.
◆ operator=()
| const MultiSourceClassifierInputParameters & te::rp::radar::MultiSourceClassifierInputParameters::operator= | ( | const MultiSourceClassifierInputParameters & | params | ) |
◆ reset()
|
virtual |
Clear all internal allocated resources and reset the parameters instance to its initial state.
Implements te::common::AbstractParameters.
◆ serialize()
|
virtual |
Returns a parameter serialization object.
- Parameters
-
serializer The output serialization object.
- Returns
- Returns true if ok, false on erros.
Reimplemented from te::rp::AlgorithmInputParameters.
Member Data Documentation
◆ m_betaValue
| std::vector< double > te::rp::radar::MultiSourceClassifierInputParameters::m_betaValue |
Beta values for Renyi distance container.
Definition at line 105 of file MultiSourceClassifierInputParameters.h.
◆ m_classesIDT
| std::vector< unsigned int > te::rp::radar::MultiSourceClassifierInputParameters::m_classesIDT |
Training class ID.
Definition at line 120 of file MultiSourceClassifierInputParameters.h.
◆ m_classesIDT2
| std::vector< unsigned int > te::rp::radar::MultiSourceClassifierInputParameters::m_classesIDT2 |
Class ID.
Definition at line 126 of file MultiSourceClassifierInputParameters.h.
◆ m_classesIDTest
| std::vector< unsigned int > te::rp::radar::MultiSourceClassifierInputParameters::m_classesIDTest |
Test class ID.
Definition at line 124 of file MultiSourceClassifierInputParameters.h.
◆ m_combinationType
| std::string te::rp::radar::MultiSourceClassifierInputParameters::m_combinationType |
How the build the multi-source classification procedure (sum, multiplication,minimum,Hellinger,fuzzy).
Definition at line 90 of file MultiSourceClassifierInputParameters.h.
◆ m_dirTestSamples
| std::map< std::string, std::string > te::rp::radar::MultiSourceClassifierInputParameters::m_dirTestSamples |
Test samples data directory.
Definition at line 110 of file MultiSourceClassifierInputParameters.h.
◆ m_dirTrainingSamples
| std::map< std::string, std::string > te::rp::radar::MultiSourceClassifierInputParameters::m_dirTrainingSamples |
Training samples data directory.
Definition at line 108 of file MultiSourceClassifierInputParameters.h.
◆ m_ENL
| std::vector< double > te::rp::radar::MultiSourceClassifierInputParameters::m_ENL |
Equivalent Number of Looks container.
Definition at line 103 of file MultiSourceClassifierInputParameters.h.
◆ m_extent
| te::rst::Grid* te::rp::radar::MultiSourceClassifierInputParameters::m_extent |
The geographic extension of the raster data.
Definition at line 64 of file MultiSourceClassifierInputParameters.h.
◆ m_imageType
| std::vector< std::string > te::rp::radar::MultiSourceClassifierInputParameters::m_imageType |
The used data model (one for each input image) (Gaussian,Gamma,IntensityPair,Wishart).
Definition at line 72 of file MultiSourceClassifierInputParameters.h.
◆ m_inputRasterPtr
| std::vector< te::rst::Raster* > te::rp::radar::MultiSourceClassifierInputParameters::m_inputRasterPtr |
Input rasters.
Definition at line 53 of file MultiSourceClassifierInputParameters.h.
◆ m_inputRastersBands
| std::vector< std::vector< unsigned int > > te::rp::radar::MultiSourceClassifierInputParameters::m_inputRastersBands |
Bands to process.
Definition at line 55 of file MultiSourceClassifierInputParameters.h.
◆ m_lagX
| unsigned int te::rp::radar::MultiSourceClassifierInputParameters::m_lagX |
The horizontal correlation value.
Definition at line 92 of file MultiSourceClassifierInputParameters.h.
◆ m_lagY
| unsigned int te::rp::radar::MultiSourceClassifierInputParameters::m_lagY |
The vertical correlation value.
Definition at line 94 of file MultiSourceClassifierInputParameters.h.
◆ m_nameOfSamples
| std::vector< std::string > te::rp::radar::MultiSourceClassifierInputParameters::m_nameOfSamples |
Definition at line 117 of file MultiSourceClassifierInputParameters.h.
◆ m_nameOfSamplesTest
| std::vector< std::string > te::rp::radar::MultiSourceClassifierInputParameters::m_nameOfSamplesTest |
Definition at line 118 of file MultiSourceClassifierInputParameters.h.
◆ m_numberOfClassesOnTest
| unsigned int te::rp::radar::MultiSourceClassifierInputParameters::m_numberOfClassesOnTest |
Number of classes on test.
Definition at line 130 of file MultiSourceClassifierInputParameters.h.
◆ m_numberOfClassesOnTraining
| unsigned int te::rp::radar::MultiSourceClassifierInputParameters::m_numberOfClassesOnTraining |
Number of classes on training.
Definition at line 128 of file MultiSourceClassifierInputParameters.h.
◆ m_numberOfColumns
| unsigned int te::rp::radar::MultiSourceClassifierInputParameters::m_numberOfColumns |
Number of columns that all input rasters must have.
Definition at line 58 of file MultiSourceClassifierInputParameters.h.
◆ m_numberOfRows
| unsigned int te::rp::radar::MultiSourceClassifierInputParameters::m_numberOfRows |
Number of rows that all input rasters must have.
Definition at line 60 of file MultiSourceClassifierInputParameters.h.
◆ m_numberOfSamples
| std::vector< int > te::rp::radar::MultiSourceClassifierInputParameters::m_numberOfSamples |
Definition at line 115 of file MultiSourceClassifierInputParameters.h.
◆ m_numberOfSamplesTest
| std::vector< int > te::rp::radar::MultiSourceClassifierInputParameters::m_numberOfSamplesTest |
Definition at line 116 of file MultiSourceClassifierInputParameters.h.
◆ m_polygonSamplesT
| std::vector< te::gm::Polygon > te::rp::radar::MultiSourceClassifierInputParameters::m_polygonSamplesT |
Training samples polygons.
Definition at line 112 of file MultiSourceClassifierInputParameters.h.
◆ m_polygonSamplesTest
| std::vector< te::gm::Polygon > te::rp::radar::MultiSourceClassifierInputParameters::m_polygonSamplesTest |
Test samples polygons.
Definition at line 122 of file MultiSourceClassifierInputParameters.h.
◆ m_polygonSamplesTestNew
| std::vector< std::vector< double > > te::rp::radar::MultiSourceClassifierInputParameters::m_polygonSamplesTestNew |
Definition at line 114 of file MultiSourceClassifierInputParameters.h.
◆ m_polygonSamplesTNew
| std::vector< std::vector< double > > te::rp::radar::MultiSourceClassifierInputParameters::m_polygonSamplesTNew |
Training samples polygons.
Definition at line 113 of file MultiSourceClassifierInputParameters.h.
◆ m_polygonsSegImage
| std::vector< te::gm::Polygon* > te::rp::radar::MultiSourceClassifierInputParameters::m_polygonsSegImage |
Polygons of segmented image.
Definition at line 66 of file MultiSourceClassifierInputParameters.h.
◆ m_radarDataRepresentationType
| std::vector< std::string > te::rp::radar::MultiSourceClassifierInputParameters::m_radarDataRepresentationType |
The radar data representation container.
Definition at line 99 of file MultiSourceClassifierInputParameters.h.
◆ m_rasterSegPtr
| te::rst::Raster const* te::rp::radar::MultiSourceClassifierInputParameters::m_rasterSegPtr |
Input segmented raster.
Definition at line 68 of file MultiSourceClassifierInputParameters.h.
◆ m_saveDistances
| bool te::rp::radar::MultiSourceClassifierInputParameters::m_saveDistances |
The flag to indicate if stochastic distance values will be saved on disk.
Definition at line 82 of file MultiSourceClassifierInputParameters.h.
◆ m_savePerClassDistancesFile
| bool te::rp::radar::MultiSourceClassifierInputParameters::m_savePerClassDistancesFile |
The flag to indicate if stochastic distance values per class will be saved on disk.
Definition at line 76 of file MultiSourceClassifierInputParameters.h.
◆ m_savePerClassPValueFile
| bool te::rp::radar::MultiSourceClassifierInputParameters::m_savePerClassPValueFile |
The flag to indicate if p-values per class will be saved on disk.
Definition at line 80 of file MultiSourceClassifierInputParameters.h.
◆ m_savePerClassStatiticsFile
| bool te::rp::radar::MultiSourceClassifierInputParameters::m_savePerClassStatiticsFile |
The flag to indicate if statistic test values per class will be saved on disk.
Definition at line 78 of file MultiSourceClassifierInputParameters.h.
◆ m_savePValues
| bool te::rp::radar::MultiSourceClassifierInputParameters::m_savePValues |
The flag to indicate if p-values will be saved on disk.
Definition at line 86 of file MultiSourceClassifierInputParameters.h.
◆ m_saveReportFile
| bool te::rp::radar::MultiSourceClassifierInputParameters::m_saveReportFile |
The flag to indicate if the report will be saved on disk.
Definition at line 88 of file MultiSourceClassifierInputParameters.h.
◆ m_saveStatitics
| bool te::rp::radar::MultiSourceClassifierInputParameters::m_saveStatitics |
The flag to indicate if statistic test values will be saved on disk.
Definition at line 84 of file MultiSourceClassifierInputParameters.h.
◆ m_significanceLevel
| double te::rp::radar::MultiSourceClassifierInputParameters::m_significanceLevel |
The significance level.
Definition at line 96 of file MultiSourceClassifierInputParameters.h.
◆ m_sourcesNumber
| unsigned int te::rp::radar::MultiSourceClassifierInputParameters::m_sourcesNumber |
The number of different image sources.
Definition at line 70 of file MultiSourceClassifierInputParameters.h.
◆ m_SRID
| int te::rp::radar::MultiSourceClassifierInputParameters::m_SRID |
The SRID of raster data;.
Definition at line 62 of file MultiSourceClassifierInputParameters.h.
◆ m_stochasticDistanceType
| std::vector< std::string > te::rp::radar::MultiSourceClassifierInputParameters::m_stochasticDistanceType |
The stochastic distance type (Bhattacharyya,Triangular).
Definition at line 74 of file MultiSourceClassifierInputParameters.h.
◆ m_vectorOrMatrixOrder
| std::vector< unsigned int > te::rp::radar::MultiSourceClassifierInputParameters::m_vectorOrMatrixOrder |
The lexicographic vector and covariance matrix order container.
Definition at line 101 of file MultiSourceClassifierInputParameters.h.
The documentation for this class was generated from the following file:
- /home/castejon/castejon_files/develop/terralib5/git_release/src/terralib/rp/radar/MultiSourceClassifierInputParameters.h
