te::rp::ClassifierEMStrategy Class Reference

EM strategy for pixel-based classification. This is an unsupervised and pixel-based classification algorithm. Expectation-Maximization (EM) works iteratively by applying two steps: the E-step (Expectation) and the M-step (Maximization). The method aims to approximate the parameter estimates to real data distribution, along the iterations: More...

#include <ClassifierEMStrategy.h>

Inheritance diagram for te::rp::ClassifierEMStrategy:

Classes
class	Parameters
	Classifier Parameters. More...

Public Member Functions
	ClassifierEMStrategy ()
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...
bool	initialize (ClassifierStrategyParameters const *const strategyParams) throw (te::rp::Exception)
	Initialize the classification strategy. More...
	~ClassifierEMStrategy ()

Protected Attributes
bool	m_isInitialized
	True if this instance is initialized. More...
ClassifierEMStrategy::Parameters	m_parameters
	Internal execution parameters. More...

Detailed Description

EM strategy for pixel-based classification. This is an unsupervised and pixel-based classification algorithm. Expectation-Maximization (EM) works iteratively by applying two steps: the E-step (Expectation) and the M-step (Maximization). The method aims to approximate the parameter estimates to real data distribution, along the iterations:

1. The E-step calculates the conditional expectation of the complete a posteriori probability function.
2. The M-step updates the parameter estimation.

Definition at line 58 of file ClassifierEMStrategy.h.

Constructor & Destructor Documentation

te::rp::ClassifierEMStrategy::ClassifierEMStrategy

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te::rp::ClassifierEMStrategy::~ClassifierEMStrategy

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Member Function Documentation

bool te::rp::ClassifierEMStrategy::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::ClassifierEMStrategy::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.

bool te::rp::ClassifierEMStrategy::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

bool te::rp::ClassifierEMStrategy::m_isInitialized

protected

True if this instance is initialized.

Definition at line 110 of file ClassifierEMStrategy.h.

ClassifierEMStrategy::Parameters te::rp::ClassifierEMStrategy::m_parameters

protected

Internal execution parameters.

Definition at line 111 of file ClassifierEMStrategy.h.

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

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