Provided by: grass-doc_6.4.3-3_all
NAME
i.cca - Canonical components analysis (cca) program for image processing.
KEYWORDS
imagery, statistics
SYNOPSIS
i.cca i.cca help i.cca group=name subgroup=name signature=string output=name [--overwrite] [--verbose] [--quiet] Flags: --overwrite Allow output files to overwrite existing files --verbose Verbose module output --quiet Quiet module output Parameters: group=name Name of input imagery group subgroup=name Name of input imagery subgroup signature=string File containing spectral signatures output=name Output raster map prefix name
DESCRIPTION
i.cca is an image processing program that takes from two to eight (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 i.class 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 2 to 8 raster band files used belong. subgroup=name Name of the imagery subgroup to which the 2 to 8 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.
NOTES
i.cca respects the current geographic region definition and the current mask setting while performing the transformation.
SEE ALSO
Schowengerdt, Robert A. Techniques for Image Processing and Classification in Remote Sensing, Academic Press, 1983. i.class i.pca r.covar r.mapcalc
AUTHORS
David Satnik, GIS Laboratory, Central Washington University Ali R. Vali, University of Texas Last changed: $Date: 2011-11-08 03:29:50 -0800 (Tue, 08 Nov 2011) $ Full index © 2003-2013 GRASS Development Team