MLClassify
Résumé
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.
Syntaxe
MLClassify(raster, signature)
| Le paramètre | Explication | Type de données |
|---|---|---|
|
raster |
The input raster to classify using the maximum likelihood classification algorithm. |
Raster |
|
signature |
The |
String |
Valeur de retour
| Type de données | Explication |
|---|---|
|
Raster |
The output raster. |
Exemple de code
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")