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i.cca - Canonical components analysis (CCA) program for image processing.
imagery, statistics, CCA, canonical components analysis
i.cca i.cca --help i.cca group=name subgroup=name signature=name output=name [--overwrite] [--help] [--verbose] [--quiet] [--ui] Flags: --overwrite Allow output files to overwrite existing files --help Print usage summary --verbose Verbose module output --quiet Quiet module output --ui Force launching GUI dialog Parameters: group=name [required] Name of input imagery group subgroup=name [required] Name of input imagery subgroup signature=name [required] File containing spectral signatures output=name [required] Output raster map prefix name
i.cca is an image processing program that takes any number of (raster) band files and a signature file, and outputs the same number of raster band files transformed to provide maximum separability of the categories indicated by the signatures. This implementation of the canonical components transformation is based on the algorithm contained in the LAS image processing system. CCA is also known as "Canonical components transformation". Typically the user will use the g.gui.iclass program to collect a set of signatures and then pass those signatures along with the raster band files to i.cca. The raster band file names are specified on the command line by giving the group and subgroup that were used to collect the signatures. The output raster map names are built by appending a ".1", ".2", etc. to the output raster map name specified on the command line. Parameters: group=name Name of the imagery group to which the raster band files used belong. subgroup=name Name of the imagery subgroup to which the raster band files used belong. signature=name Name of an ASCII file containing spectral signatures. output=name Output raster map prefix name. The output raster map layer names are built by appending a ".1", ".2", etc. onto the output name specified by the user.
i.cca respects the current geographic region definition and the current mask setting while performing the transformation.
g.gui.iclass, i.pca, r.covar, r.mapcalc
Schowengerdt, Robert A. Techniques for Image Processing and Classification in Remote Sensing, Academic Press, 1983.
David Satnik, GIS Laboratory, Central Washington University Ali R. Vali, University of Texas Last changed: $Date: 2017-02-16 13:48:50 +0100 (Thu, 16 Feb 2017) $
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