ClassifierEMStrategy.h File Reference

EM (Expectation-Maximization) strategy for pixel-based classification. More...

#include "ClassifierStrategy.h"
#include "ClassifierStrategyFactory.h"
#include "Config.h"
#include <vector>
#include <boost/numeric/ublas/matrix.hpp>

Go to the source code of this file.

Classes
class	te::rp::ClassifierEMStrategy
	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...
class	te::rp::ClassifierEMStrategyFactory
	Raster EM Classifier strategy factory. More...
class	te::rp::ClassifierEMStrategy::Parameters
	Classifier Parameters. More...

Namespaces
	te
	TerraLib.
	te::rp
	Namespace for Raster Processing module of TerraLib.

Detailed Description

EM (Expectation-Maximization) strategy for pixel-based classification.

Definition in file ClassifierEMStrategy.h.