NAME
i.pr.classify - Module to classify raster map based on model defined in i.pr.* modules. i.pr: Pattern Recognition environment for image processing. Includes kNN, Decision Tree and SVM classification techniques. Also includes cross-validation and bagging methods for model validation.
KEYWORDS
imagery, image processing, pattern recognition
SYNOPSIS
i.pr.classify
i.pr.classify help
i.pr.classify input_map=string[,string,...] model=string output_map=string [--overwrite] [--verbose] [--quiet]
Flags:
- --overwrite
- Allow output files to overwrite existing files
- --verbose
- Verbose module output
- --quiet
- Quiet module output
Parameters:
- input_map=string[,string,...]
- Input raster maps to be classified.
It is required a number of maps at least equal to the number of maps
used for the training. If this number is greater the last maps will be ignored.
WARNING: the order in which the maps are given should be compared
with that used for the training.
- model=string
- Input file containing the model (output of i .pr_model).
If the data used for model development are not GRASS_data the program will abort.
- output_map=string
- Name of the output raster map conaining the resulting classification.
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