Classify

Disponible con licencia de Image Analyst.

Disponible con una licencia de Spatial Analyst.

Resumen

Classifies a raster dataset based on an Esriclassifier definition file (.ecd) and raster dataset inputs.

Debate

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.

Sintaxis

Classify (raster1, {raster2}, classifier_definition)

Parámetro	Explicación	Tipo de datos
raster1	The input raster to be classified.	Raster
raster2	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.	Raster
classifier_definition	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. (El valor predeterminado es None)	String

Valor de retorno

Tipo de datos	Explicación
Raster	The classified raster object.

Muestra de código

Classify example

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

from arcpy.sa import *
out_classify_raster = Classify("NAIP.tif",None,
                               "C:/arcpyExamples/data/vegetation_class.ecd")
out_classify_raster.save("C:/arcpyexamples/outputs/classify_output.tif")

Classify example

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

# Import system modules
import arcpy
from arcpy.sa import *

# Check out the ArcGIS Spatial Analyst extension license
arcpy.CheckOutExtension("Spatial")

# 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
classified_raster.save("C:/arcpyExamples/outputs/Vegetation_landcover.crf")