Disponible avec une licence Image Analyst.

Disponible avec une licence Spatial Analyst.


Classifies a raster dataset based on an Esri Classifier Definition file (.ecd) and raster dataset inputs.


For more information about how this function works, see the 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.


Classify (raster1, {raster2}, classifier_definition)
ParamètreExplicationType de données

The input raster to be classified.


An optional raster dataset to incorporate into the classifier, such as a segmented image, multispectral image, or elevation data, used to generate a more robust classification definition for your dataset.

The raster dataset for this parameter must match the one used to create the input Esri Classifier Definition file.


The path to the Esri Classifier Definition file (.ecd) that contains the statistics and other classification information for the specific dataset, classifier, and chosen attributes.

(La valeur par défaut est None)

Valeur renvoyée
Type de donnéesExplication

The classified raster object.

Exemple de code

Classify example

Classifies a multispectral raster based on an Esri classifier definition file (.ecd).

from import *
out_classify_raster = Classify("NAIP.tif",None,
Classify example

Classifies a multispectral raster based on an Esri classifier definition file (.ecd).

# Import system modules
import arcpy
from import *

# Check out the ArcGIS Spatial Analyst extension license

# Set the analysis environments
arcpy.env.workspace = "C:/arcpyExamples/data"

# Set the local variables
raster1 = "QuickBird_4bands.tif"
raster2 = None
classifier_definition = "C:/arcpyExamples/data/tree_crown_classification_training_2classes_4b16b_ntree50.ecd"

# Apply Classify function
classified_raster = Classify(raster1, raster2, classifier_definition)

# Save the output"C:/arcpyExamples/outputs/Vegetation_landcover.crf")

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