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