MLClassify

Available with Image Analyst license.

Summary

Performs a supervised classification using the maximum likelihood classification algorithm.

Discussion

For more information about how this function works, see ML Classify raster function.

The referenced raster dataset for the raster object is temporary. To make it permanent, you can call the raster object's save method.

Syntax

MLClassify (raster, signature)

Parameter	Explanation	Data Type
raster [raster,...]	The input raster to classify using the maximum likelihood classification algorithm.	Raster
signature [signature,...]	The .gsg signature file.	String

Return Value

Data Type	Explanation
Raster	The output raster.

Code sample

MLClassify example

This example performs a supervised classification, using the maximum likelihood classification.

from arcpy.ia import *
out_mlclassify_raster = MLClassify("northerncincy.tif", "C:/arcpyExamples/data/cincinnati1234.gsg")
out_mlclassify_raster.save("C:/arcpyExamples/outputs/outputs_mlclassify.tif")