Mit der Image Analyst-Lizenz verfügbar.
Mit der Spatial Analyst-Lizenz verfügbar.
Zusammenfassung
Classifies a raster dataset based on an Esri Classifier Definition file (.ecd) and raster dataset inputs.
Diskussion
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.
Syntax
Classify (raster1, {raster2}, classifier_definition)| Parameter | Erläuterung | Datentyp |
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. (Der Standardwert ist None) | String |
| Datentyp | Erläuterung |
| Raster | The classified raster object. |
Codebeispiel
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")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")