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MLClassify

Zusammenfassung

Performs a supervised classification using the maximum likelihood classification algorithm.

Diskussion

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 Erläuterung Datentyp

raster

The input raster to classify using the maximum likelihood classification algorithm.

Raster

signature

The .gsg signature file.

String

Rückgabewert

Datentyp Erläuterung

Raster

The output raster.

Codebeispiel

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")