Raster Processing

This module provides classes and functions with raster processing capabilities. More...

Files
file	Functions.h
	Raster Processing functions.

Classes
class	te::rp::Algorithm
	Raster Processing algorithm base interface. More...
class	te::rp::AlgorithmInputParameters
	Raster Processing algorithm input parameters base interface. More...
class	te::rp::AlgorithmOutputParameters
	Raster Processing algorithm output parameters base interface. More...
class	te::rp::Classifier
	Raster classification. More...
class	te::rp::ClassifierStrategy
	Raster classifier strategy base class. More...
class	te::rp::ClassifierStrategyFactory
	Raster classifier strategy factory base class. More...
class	te::rp::Contrast
	Contrast enhancement. More...
class	te::rp::Filter
	A series of well-known filtering algorithms for images, linear and non-linear.. More...
class	te::rp::GeoMosaic
	Create a mosaic from a set of geo-referenced rasters. More...
class	te::rp::IHSFusion
	Fusion of a low-resolution multi-band image with a high resolution image using the IHS method. More...
class	te::rp::MixtureModel
	Raster decomposition using mixture model. More...
class	te::rp::MixtureModelStrategy
	Raster mixture model strategy base class. More...
class	te::rp::MixtureModelStrategyFactory
	Raster Mixture model strategy factory base class. More...
class	te::rp::Register
	Performs raster data registering into a SRS using a set of tie points. More...
class	te::rp::Segmenter
	Raster segmentation. More...
class	te::rp::SegmenterStrategy
	Raster segmenter strategy base class. More...
class	te::rp::SegmenterStrategyFactory
	Raster segmenter strategy factory base class. More...
class	te::rp::SequenceMosaic
	Create mosaics from a sequence of overlapped rasters using an automatic tie-points detection method. More...

Detailed Description

This module provides classes and functions with raster processing capabilities.

Basically, the TerraLib Raster Processing module contains several processing operations applied to an image and it is organized as follows:

• Classifier: detects patterns in image regions using different methods;
• Contrast: basic image contrast enhancement following the supplied parameters;
• Filtering: filters include pixel-based techniques like masks, convolution, low-pass and high-pass filtering to smooth or sharpen images;
• Fusion: fusion includes techniques to combine pixel information from different sensors to obtain better spatial resolution;
• Mixture Model: raster decomposition using mixture model;
• Mosaic: merges two or more rasters into a single raster;
• Register: image registration;
• Segmenter: image segmentation covers techniques for splitting one image into its components as homogeneous regions.

The main classes/concepts in this module are listed here. The namespace associated to the Raster Processing module is te::rp. To know more about it, see the te::rp namespace documentation.