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i.cca(1grass) GRASS GIS User's Manual i.cca(1grass)


i.cca - Canonical components analysis (CCA) program for image processing.


imagery, statistics, CCA, canonical components analysis


i.cca --help
i.cca group=name subgroup=name signature=name output=name [--overwrite] [--help] [--verbose] [--quiet] [--ui]


Allow output files to overwrite existing files

Print usage summary

Verbose module output

Quiet module output

Force launching GUI dialog


Name of input imagery group

Name of input imagery subgroup

File containing spectral signatures

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.


Name of the imagery group to which the raster band files used belong.

Name of the imagery subgroup to which the raster band files used belong.

Name of an ASCII file containing spectral signatures.

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


Available at: i.cca source code (history)

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