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. | |
EM (Expectation-Maximization) strategy for pixel-based classification.
Definition in file ClassifierEMStrategy.h.