te::rp::ClassifierMAPStrategy Class Reference

Maximum a posteriori probability strategy. More...

#include <ClassifierMAPStrategy.h>

Inheritance diagram for te::rp::ClassifierMAPStrategy:

Classes
class	Parameters
	Classifier Parameters. More...

Public Member Functions
	ClassifierMAPStrategy ()
bool	execute (const te::rst::Raster &inputRaster, const std::vector< unsigned int > &inputRasterBands, const std::vector< te::gm::Polygon * > &inputPolygons, te::rst::Raster &outputRaster, const unsigned int outputRasterBand, const bool enableProgressInterface) throw (te::rp::Exception)
	Executes the classification strategy. More...
std::vector< int >	getOutputDataTypes () const
	Returns the output raster pixel data type for each output band. More...
unsigned int	getOutputNumberBands (void)
bool	initialize (ClassifierStrategyParameters const *const strategyParams) throw (te::rp::Exception)
	Initialize the classification strategy. More...
	~ClassifierMAPStrategy ()

Protected Member Functions
bool	getPrioriProbabilities (const te::rst::Raster &inputRaster, const std::vector< unsigned int > &inputRasterBands, te::common::TaskProgress *const progressPtr, std::vector< double > &prioriProbabilities) const
	Calcule of priori probabilities following the current internal state. More...

Protected Attributes
std::vector< boost::numeric::ublas::matrix< double > >	m_classesCovarianceInvMatrixes
	Classes covariance inverse matrixes. More...
std::vector< boost::numeric::ublas::matrix< double > >	m_classesCovarianceMatrixes
	Classes covariance matrixes. More...
std::vector< Parameters::ClassIDT >	m_classesIndex2ID
	An class index ordered vector of classes IDs;. More...
std::vector< std::vector< double > >	m_classesMeans
	Classes means;. More...
std::vector< double >	m_classesOptizedMAPDiscriminantTerm
	An optimized portion of the MAP discriminant function. More...
ClassifierMAPStrategy::Parameters	m_initParams
	Initialization parameters. More...
bool	m_isInitialized
	Is this instance initialized? More...

Detailed Description

Maximum a posteriori probability strategy.

Definition at line 50 of file ClassifierMAPStrategy.h.

Constructor & Destructor Documentation

te::rp::ClassifierMAPStrategy::ClassifierMAPStrategy

(

)

te::rp::ClassifierMAPStrategy::~ClassifierMAPStrategy

(

)

Member Function Documentation

bool te::rp::ClassifierMAPStrategy::execute ( const te::rst::Raster &  inputRaster, const std::vector< unsigned int > &  inputRasterBands, const std::vector< te::gm::Polygon * > &  inputPolygons, te::rst::Raster &  outputRaster, const unsigned int  outputRasterBand, const bool  enableProgressInterface  ) throw ( te::rp::Exception )

virtual

Executes the classification strategy.

Parameters

inputRaster	Input raster.
inputRasterBands	Input raster bands.
inputPolygons	The polygons to be classified when using object-based image analysis (OBIA).
outputRaster	Output raster.
outputRasterBand	Output raster band.
enableProgressInterface	Enable the internal strategy to update the progress interface.

Returns

true if OK, false on errors.

Implements te::rp::ClassifierStrategy.

std::vector< int > te::rp::ClassifierMAPStrategy::getOutputDataTypes ( ) const

virtual

Returns the output raster pixel data type for each output band.

Returns

Returns the output raster pixel data type for each output band.

Implements te::rp::ClassifierStrategy.

unsigned int te::rp::ClassifierMAPStrategy::getOutputNumberBands

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void

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bool te::rp::ClassifierMAPStrategy::getPrioriProbabilities ( const te::rst::Raster &  inputRaster, const std::vector< unsigned int > &  inputRasterBands, te::common::TaskProgress *const  progressPtr, std::vector< double > &  prioriProbabilities  ) const

protected

Calcule of priori probabilities following the current internal state.

Parameters

inputRaster	Input raster.
inputRasterBands	Input raster bands.
progressPtr	A pointer to a progress interface, or a null pointer if no progress must be updated.
prioriProbabilities	The calculated probabilities.

Returns

true if ok, false on errors.

bool te::rp::ClassifierMAPStrategy::initialize ( ClassifierStrategyParameters const *const  strategyParams ) throw ( te::rp::Exception )

virtual

Initialize the classification strategy.

Parameters

strategyParams

A pointer to the user given specific classification strategy parameters ou NULL if no parameters are present.

Returns

true if OK, false on errors.

Implements te::rp::ClassifierStrategy.

Member Data Documentation

std::vector< boost::numeric::ublas::matrix< double > > te::rp::ClassifierMAPStrategy::m_classesCovarianceInvMatrixes

protected

Classes covariance inverse matrixes.

Definition at line 122 of file ClassifierMAPStrategy.h.

std::vector< boost::numeric::ublas::matrix< double > > te::rp::ClassifierMAPStrategy::m_classesCovarianceMatrixes

protected

Classes covariance matrixes.

Definition at line 120 of file ClassifierMAPStrategy.h.

std::vector< Parameters::ClassIDT > te::rp::ClassifierMAPStrategy::m_classesIndex2ID

protected

An class index ordered vector of classes IDs;.

Definition at line 116 of file ClassifierMAPStrategy.h.

std::vector< std::vector< double > > te::rp::ClassifierMAPStrategy::m_classesMeans

protected

Classes means;.

Definition at line 118 of file ClassifierMAPStrategy.h.

std::vector< double > te::rp::ClassifierMAPStrategy::m_classesOptizedMAPDiscriminantTerm

protected

An optimized portion of the MAP discriminant function.

Definition at line 124 of file ClassifierMAPStrategy.h.

ClassifierMAPStrategy::Parameters te::rp::ClassifierMAPStrategy::m_initParams

protected

Initialization parameters.

Definition at line 114 of file ClassifierMAPStrategy.h.

bool te::rp::ClassifierMAPStrategy::m_isInitialized

protected

Is this instance initialized?

Definition at line 112 of file ClassifierMAPStrategy.h.

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

• /home/castejon/castejon_files/develop/terralib5/git_master/src/terralib/rp/ClassifierMAPStrategy.h