Gamma model data manipulation. More...

#include <GammaModel.h>

Public Types
typedef unsigned int	ClassIDT
	CLass ID type definiton. More...

typedef std::vector< ClassSampleT >	ClassSamplesContainerT
	Class samples container type definition. More...

typedef std::vector< double >	ClassSampleT
	Class sample type definition. More...

typedef std::map< ClassIDT, ClassSamplesContainerT >	MClassesSamplesCT
	Multi-classes samples container type definition. More...

typedef boost::shared_ptr< MClassesSamplesCT >	MClassesSamplesCTPtr
	A shared pointer to a multi classes samples container type definition. More...

Public Member Functions
bool	CalculatingLambdaClass (void)

bool	CalculatingLambdaRegion (void)

bool	execute (void)

	GammaModel ()
	Constructor. More...

bool	GettingStatisticalTests (void)

bool	GettingStochasticDistances (void)

bool	LoadingSamples (void)

	~GammaModel ()
	Destructor. More...

Public Attributes
double	m_betaValue
	Beta value for Renyi distance type. More...

std::vector< unsigned int >	m_classesIDT
	Training class ID. More...

std::vector< ClassIDT >	m_classesIndex2IDLambda
	A class index ordered vector of classes IDs for Lambda parameter. More...

double	m_ENL
	Equivalent Number Look type. More...

te::rst::Raster *	m_inputRasterPtr
	Input raster. More...

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::vector< double > >	m_lambdaClassesParameters
	Lambda classes parameter. More...

std::vector< double >	m_lambdaRegionsParameters
	Lambda regions parameter. More...

std::vector< int >	m_numberOfSamples

std::vector< te::gm::Polygon >	m_polygonSamplesT
	Training samples polygons. More...

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::vector< double > >	m_pValue
	P-values container. More...

std::vector< double >	m_regionsSize
	Size of regions. More...

std::vector< double >	m_samplesSize
	Size of sample containers. More...

double	m_significanceLevel
	The significance level. More...

unsigned int	m_sourcesNumber
	Number of sources. More...

std::vector< std::vector< double > >	m_statisticalTest
	Statistical test container. More...

std::vector< std::vector< double > >	m_stochasticDistance
	Stochastic distance container. More...

std::string	m_stochasticDistanceType
	The stochastic distance type definition. More...

MClassesSamplesCTPtr	m_trainSamplesPtr
	A shared pointer to a always-valid structure where training samples are stored. More...

Detailed Description

Gamma model data manipulation.

Definition at line 49 of file GammaModel.h.

Member Typedef Documentation

◆ ClassIDT

typedef unsigned int te::rp::radar::GammaModel::ClassIDT

CLass ID type definiton.

Definition at line 61 of file GammaModel.h.

◆ ClassSamplesContainerT

typedef std::vector< ClassSampleT > te::rp::radar::GammaModel::ClassSamplesContainerT

Class samples container type definition.

Definition at line 71 of file GammaModel.h.

◆ ClassSampleT

typedef std::vector< double > te::rp::radar::GammaModel::ClassSampleT

Class sample type definition.

Definition at line 69 of file GammaModel.h.

◆ MClassesSamplesCT

typedef std::map< ClassIDT, ClassSamplesContainerT > te::rp::radar::GammaModel::MClassesSamplesCT

Multi-classes samples container type definition.

Definition at line 73 of file GammaModel.h.

◆ MClassesSamplesCTPtr

typedef boost::shared_ptr< MClassesSamplesCT > te::rp::radar::GammaModel::MClassesSamplesCTPtr

A shared pointer to a multi classes samples container type definition.

Definition at line 75 of file GammaModel.h.

Constructor & Destructor Documentation

◆ GammaModel()

te::rp::radar::GammaModel::GammaModel ( )

Constructor.

◆ ~GammaModel()

te::rp::radar::GammaModel::~GammaModel ( )

Destructor.

Member Function Documentation

◆ CalculatingLambdaClass()

bool te::rp::radar::GammaModel::CalculatingLambdaClass ( void )

◆ CalculatingLambdaRegion()

bool te::rp::radar::GammaModel::CalculatingLambdaRegion ( void )

◆ execute()

bool te::rp::radar::GammaModel::execute ( void )

◆ GettingStatisticalTests()

bool te::rp::radar::GammaModel::GettingStatisticalTests ( void )

◆ GettingStochasticDistances()

bool te::rp::radar::GammaModel::GettingStochasticDistances ( void )

◆ LoadingSamples()

bool te::rp::radar::GammaModel::LoadingSamples ( void )

Member Data Documentation

◆ m_betaValue

double te::rp::radar::GammaModel::m_betaValue

Beta value for Renyi distance type.

Definition at line 101 of file GammaModel.h.

◆ m_classesIDT

std::vector< unsigned int > te::rp::radar::GammaModel::m_classesIDT

Training class ID.

Definition at line 63 of file GammaModel.h.

◆ m_classesIndex2IDLambda

std::vector< ClassIDT > te::rp::radar::GammaModel::m_classesIndex2IDLambda

A class index ordered vector of classes IDs for Lambda parameter.

Definition at line 79 of file GammaModel.h.

◆ m_ENL

double te::rp::radar::GammaModel::m_ENL

Equivalent Number Look type.

Definition at line 85 of file GammaModel.h.

◆ m_inputRasterPtr

te::rst::Raster* te::rp::radar::GammaModel::m_inputRasterPtr

Input raster.

Definition at line 55 of file GammaModel.h.

◆ m_inputRastersBands

std::vector< unsigned int > te::rp::radar::GammaModel::m_inputRastersBands

Bands to process.

Definition at line 57 of file GammaModel.h.

◆ m_lagX

unsigned int te::rp::radar::GammaModel::m_lagX

The horizontal correlation value.

Definition at line 87 of file GammaModel.h.

◆ m_lagY

unsigned int te::rp::radar::GammaModel::m_lagY

The vertical correlation value.

Definition at line 89 of file GammaModel.h.

◆ m_lambdaClassesParameters

std::vector< std::vector< double > > te::rp::radar::GammaModel::m_lambdaClassesParameters

Lambda classes parameter.

Definition at line 81 of file GammaModel.h.

◆ m_lambdaRegionsParameters

std::vector< double > te::rp::radar::GammaModel::m_lambdaRegionsParameters

Lambda regions parameter.

Definition at line 83 of file GammaModel.h.

◆ m_numberOfSamples

std::vector< int > te::rp::radar::GammaModel::m_numberOfSamples

Definition at line 67 of file GammaModel.h.

◆ m_polygonSamplesT

std::vector< te::gm::Polygon > te::rp::radar::GammaModel::m_polygonSamplesT

Training samples polygons.

Definition at line 65 of file GammaModel.h.

◆ m_polygonSamplesTNew

std::vector< std::vector< double > > te::rp::radar::GammaModel::m_polygonSamplesTNew

Training samples polygons.

Definition at line 66 of file GammaModel.h.

◆ m_polygonsSegImage

std::vector< te::gm::Polygon* > te::rp::radar::GammaModel::m_polygonsSegImage

Polygons of segmented image.

Definition at line 59 of file GammaModel.h.

◆ m_pValue

std::vector< std::vector< double > > te::rp::radar::GammaModel::m_pValue

P-values container.

Definition at line 99 of file GammaModel.h.

◆ m_regionsSize

std::vector< double > te::rp::radar::GammaModel::m_regionsSize

Size of regions.

Definition at line 103 of file GammaModel.h.

◆ m_samplesSize

std::vector< double > te::rp::radar::GammaModel::m_samplesSize

Size of sample containers.

Definition at line 105 of file GammaModel.h.

◆ m_significanceLevel

double te::rp::radar::GammaModel::m_significanceLevel

The significance level.

Definition at line 91 of file GammaModel.h.

◆ m_sourcesNumber

unsigned int te::rp::radar::GammaModel::m_sourcesNumber

Number of sources.

Definition at line 53 of file GammaModel.h.

◆ m_statisticalTest

std::vector< std::vector< double > > te::rp::radar::GammaModel::m_statisticalTest

Statistical test container.

Definition at line 97 of file GammaModel.h.

◆ m_stochasticDistance

std::vector< std::vector< double > > te::rp::radar::GammaModel::m_stochasticDistance

Stochastic distance container.

Definition at line 95 of file GammaModel.h.

◆ m_stochasticDistanceType

std::string te::rp::radar::GammaModel::m_stochasticDistanceType

The stochastic distance type definition.

Definition at line 93 of file GammaModel.h.

◆ m_trainSamplesPtr

MClassesSamplesCTPtr te::rp::radar::GammaModel::m_trainSamplesPtr

A shared pointer to a always-valid structure where training samples are stored.

Definition at line 77 of file GammaModel.h.

The documentation for this class was generated from the following file:

/home/castejon/castejon_files/develop/terralib5/git_release/src/terralib/rp/radar/GammaModel.h

Public Types

Public Member Functions

Public Attributes