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.