MLClassify
Resumen
Performs a supervised classification using the maximum likelihood classification algorithm.
Debate
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.
Sintaxis
MLClassify(raster, signature)
| El parámetro | Explicación | Tipo de datos |
|---|---|---|
|
raster |
The input raster to classify using the maximum likelihood classification algorithm. |
Raster |
|
signature |
The |
String |
Valor de retorno
| Tipo de datos | Explicación |
|---|---|
|
Raster |
The output raster. |
Muestra de código
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")