Available with Spatial Analyst license.
Summary
Computes a set of attributes associated with the segmented image. The input raster can be a single-band or 3-band, 8-bit segmented image.
Usage
This tool generates the attributes for each segment that exists in the image. Attributes include mean, standard deviation, segment size, converged color (from the Segment Mean Shift tool), and compactness.
See Analysis environments and Spatial Analyst for additional details on the geoprocessing environments that apply to this tool.
Syntax
ComputeSegmentAttributes(in_segmented_raster, {in_additional_raster}, {used_attributes})
Parameter | Explanation | Data Type |
in_segmented_raster | The input segmented raster dataset, where all the pixels belonging to a segment have the same converged RGB color. Usually, it is an 8-bit, 3-band RGB raster, but it can also be a 1-band grayscale raster. | Raster Layer; Mosaic Layer |
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. | Raster Layer; Mosaic Layer |
used_attributes [used_attributes,...] (Optional) | Specifies the attributes to be included in the attribute table associated with the output raster.
If the only input into the tool is a segmented image, the default attributes are COLOR, COUNT, COMPACTNESS, and RECTANGULARITY. If an in_additional_raster is also included as an input along with a segmented image, then MEAN and STD are available as options. | String |
Return Value
Name | Explanation | Data Type |
out_index_raster_dataset | The output segment index raster, where the attributes for each segment are recorded in the associated attribute table. | Raster |
Code sample
ComputeSegmentAttributes example 1 (Python window)
This example computes segment attributes for a TIFF raster.
import arcpy
from arcpy.sa import *
compute_att = ComputeSegmentAttributes(
"c:/test/moncton_seg.tif", "c:/test/moncton.tif",
"COLOR;MEAN;STD;COUNT;COMPACTNESS;RECTANGULARITY")
compute_att.save("c:/test/moncton_computeseg.tif")
ComputeSegmentAttributes example 2 (stand-alone script)
This example computes segment attributes for a TIFF raster.
# Import system modules
import arcpy
from arcpy.sa import *
# Set local variables
inSegRaster = "c:/test/moncton_seg.tif"
in_additional_raster = "c:/test/moncton.tif"
attributes = "COLOR;MEAN;STD;COUNT;COMPACTNESS;RECTANGULARITY"
# Check out the ArcGIS Spatial Analyst extension license
arcpy.CheckOutExtension("Spatial")
# Execute
compute_att = ComputeSegmentAttributes(inSegRaster, in_additional_raster,
attributes)
#save output
compute_att.save("c:/test/moncton_computeseg.tif")
Environments
Licensing information
- Basic: Requires Spatial Analyst
- Standard: Requires Spatial Analyst
- Advanced: Requires Spatial Analyst