26#ifndef __TERRALIB_FW_INTERNAL_RP_FW_H
27#define __TERRALIB_FW_INTERNAL_RP_FW_H
59 template<
typename TemplateElementType >
class Matrix;
76 class SegmenterRegionGrowingStrategy;
Radar Raster Processing functions.
Raster Processing algorithm output parameters base interface.
Raster Processing algorithm base interface.
Performs arithmetic operation over raster data.
Blended pixel value calculation for two overlaped rasters.
Dummy strategy (just for testing purposes).
EM strategy for pixel-based classification. This is an unsupervised and pixel-based classification al...
ISOSeg strategy for OBIA classification. The algorithm orders regions by area (larger first),...
KMeans strategy for image classification. Step-by-step:
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 base class.
A feeder from an input directory name.
A feeder from a input rasters vector;.
Feeder from a input rasters.
A series of well-known filtering algorithms for images, linear and non-linear..
Create a mosaic from a set of geo-referenced rasters.
Fusion of a low-resolution multi-band image with a high resolution image using the IHS method.
A generic template matrix.
Raster Mixture model strategy factory base class.
Raster mixture model strategy base class.
Raster decomposition using mixture model.
This singleton defines the TerraLib Raster Processing module entry.
Fusion of a low-resolution multi-band image with a high resolution image using the PCA (Principal com...
Extraction of attributes from Raster, Bands, and Polygons.
Performs raster data registering into a SRS using a set of tie points.
This class implements the combining interpolation and restoration operation.
Dummy strategy (just for testing purposes).
Segmenter segments IDs manager.
Segmenter segments block description class.
Raster segmenter strategy factory base class.
Segmenter Strategy Parameters.
Raster segmenter strategy base class.
Create mosaics from a sequence of overlapped rasters using an automatic tie-points detection method.
Creation of skeleton images.
Raster strategy parameters base class.
Tie-points locator Moravec strategy.
Tie-points locator SURF strategy.
Tie-points locator strategy.
Create a mosaic from a set of rasters using tie-points.
Fusion of a low-resolution multi-band image with a high resolution image using the WiSpeR method.
Namespace for Radar Raster Processing.
Namespace for Raster Processing module of TerraLib.
A structure to hold the set of GLCM metrics.