Available with Spatial Analyst license.
Summary
Classifies a raster dataset based on an Esri classifier definition (.ecd) file and raster dataset inputs.
The .ecd file contains all the information needed to perform a specific type of Esri-supported classification. The inputs to this tool must match the inputs used to generate the required .ecd file.
The .ecd file can be generated from any of the classifier training tools, such as Train Random Trees Classifier or Train Support Vector Machine Classifier.
Usage
The input raster can be any Esri-supported raster and any valid bit depth.
The input .ecd file contains attribute statistics suitable for the appropriate classifier.
See Analysis environments and Spatial Analyst for additional details on the geoprocessing environments that apply to this tool.
Syntax
ClassifyRaster(in_raster, in_classifier_definition, {in_additional_raster})| Parameter | Explanation | Data Type |
in_raster | The raster dataset to classify. | Mosaic Layer; Raster Layer; Image Service; String |
in_classifier_definition | The input Esri classifier definition (.ecd) file containing the statistics on the chosen attributes for the classifier. | File |
in_additional_raster (Optional) | Incorporate ancillary raster datasets, such as a multispectral image or a DEM, to generate attributes and other required information for the classifier. This raster will be needed when calculating attributes such as mean or standard deviation. This parameter is optional. | Mosaic Layer; Raster Layer; Image Service; String |
Return Value
| Name | Explanation | Data Type |
| out_raster_dataset | The path and name of the classified image you are creating. The output classified raster is defined by the input raster dataset and .ecd file inputs. | Raster |
Code sample
ClassifyRaster example 1 (Python window)
This example classifies an input TIFF raster.
# Import system modules
import arcpy
from arcpy.sa import *
classifiedraster = ClassifyRaster("c:/classifydata/moncton_seg.tif",
"c:/classifydata/moncton_sig.ecd",
"c:/classifydata/moncton.tif")
classifiedraster.save("c:/test/moncton_classified.tif")
ClassifyRaster example 2 (stand-alone script)
This example classifies an input TIFF raster.
# Import system modules
import arcpy
from arcpy.sa import *
# Set local variables
insegras = "c:/classifydata/moncton_seg.tif"
indef_file = "c:/classifydata/moncton_sig.ecd"
in_additional_raster = "c:/classifydata/moncton.tif"
# Check out the ArcGIS Spatial Analyst extension license
arcpy.CheckOutExtension("Spatial")
# Execute
classifiedraster = ClassifyRaster(insegras, indef_file, in_additional_raster)
#save output
classifiedraster.save("c:/test/moncton_classified.tif")
Environments
Licensing information
- Basic: Requires Spatial Analyst
- Standard: Requires Spatial Analyst
- Advanced: Requires Spatial Analyst