26 #ifndef __TERRALIB_INTERNAL_RP_H
27 #define __TERRALIB_INTERNAL_RP_H
57 #include "rp/Config.h"
Raster Processing algorithm output parameters base interface.
Performs arithmetic operation over raster data.
Blended pixel value calculation for two overlaped rasters.
Dummy strategy (just for testing purposes).
Euclidean Distance Classifier strategy.
EM (Expectation-Maximization) strategy for pixel-based classification.
ISOData strategy for image classification.
ISOSeg strategy for segmentation-based classification.
KMeans strategy for image classification.
Maximum a posteriori probability strategy.
A maximum likelihood estimation strategy for classification (a.k.a. MaxVer in portuguese).
Spectral Angle Mapper classification strategy.
Raster classifier strategy factory base class.
Raster classifier strategy parameters base class.
Raster classifier strategy base class.
Raster Processing functions.
Create a mosaic from a set of geo-referenced rasters.
Creation of skeleton imagems.
This file contains a class that represents the method to remove pixels from classified image.
Raster linear strategy for mixture model classification.
PCA (Principal Component Analysis) strategy for mixture model.
Raster mixture model strategy factory base class.
Raster mixture model strategy base class.
Raster decomposition using mixture model.
Creation of skeleton imagems.
Raster functions to generate palette image.
Raster post classification.
Radar Raster Processing functions.
Extraction of attributes from Raster, Bands, and Polygons.
Performs raster data registering into a SRS using a set of tie points.
Dummy strategy (just for testing purposes).
Segmenter Baatz merger used in region growing process.
Raster region growing segmenter Baatz strategy.
Segmenter mean merger used in region growing process.
Raster region growing segmenter Mean strategy.
Segmenter data used by the merger (region growing process).
Segmenter merger used in region growing process.
Raster segmenter strategy factory base class.
Raster segmenter strategy parameters base class.
Raster segmenter strategy base class.
Create mosaics from a sequence of overlapped rasters using an automatic tie-points detection method.
Creation of skeleton imagems.
Spectral Response Functions.
Raster strategy parameters base class.
A structure to hold the set of GLCM metrics.
Tie-Pointsr locator Moravec strategy.
Tie-Pointsr locator SURF strategy.
Raster tie points locator strategy factory base class.
Tie Points Locator strategy parameters.
Tie-Pointsr locator strategy.
TiePointsLocator locator.
Create a mosaic from a set of rasters using tie-points.
Raster Processing algorithm base interface class.
A series of well-known filtering algorithms for images, linear and non-linear.
This singleton defines the TerraLib Raster Processing module entry.