| Label | Explanation | Data Type |
Input Raster or Feature Class Data | The input classification image or other thematic GIS reference data. The input can be a raster or feature class. Typical data is a classification image of a single band, integer data type. If using polygons as input, only use those that are not used as training samples. You can also use land-cover data in shapefile or feature class format. | Raster Layer; Mosaic Layer; Feature Layer |
Input Accuracy Assessment Points | The point feature class providing the accuracy assessment points to be updated. All points from this input will be copied to the updated output feature class, and the Target Field will be updated from the input raster or feature class data. | Feature Layer |
Output Accuracy Assessment Points | The output point feature class which contains the updated random point field for accuracy assessment purposes. | Feature Class |
Target Field (Optional) | Specifies whether the input data is a classified image or ground truth data.
| String |
Available with Spatial Analyst license.
Available with Image Analyst license.
Summary
Updates the Target field in the attribute table to compare reference points to the classified image.
Accuracy assessment takes known points and uses them to assess the validity of the classification model.
Usage
Update the attribute table of a feature class that represents accuracy assessment points. If you created the feature class using the Create Accuracy Assessment Points tool, there will be a field for GROUND_TRUTH and for CLASSIFIED. This tool can start with either reference data and compare it to the classified output, or it can start with the classified output and compare that to reference data.
These two fields are then compared using the Compute Confusion Matrix geoprocessing tool.
You can manually update the GROUND_TRUTH field if you want to change or identify a set of points.
Parameters
UpdateAccuracyAssessmentPoints(in_class_data, in_points, out_points, {target_field})| Name | Explanation | Data Type |
in_class_data | The input classification image or other thematic GIS reference data. The input can be a raster or feature class. Typical data is a classification image of a single band, integer data type. If using polygons as input, only use those that are not used as training samples. You can also use land-cover data in shapefile or feature class format. | Raster Layer; Mosaic Layer; Feature Layer |
in_points | The point feature class providing the accuracy assessment points to be updated. All points from this input will be copied to the updated output feature class, and the target_field will be updated from the input raster or feature class data. | Feature Layer |
out_points | The output point feature class which contains the updated random point field for accuracy assessment purposes. | Feature Class |
target_field (Optional) |
Specifies whether the input data is a classified image or ground truth data.
| String |
Code sample
This example updates the points used for accuracy assessment.
import arcpy
from arcpy.ia import *
# Check out the ArcGIS Image Analyst extension license
arcpy.CheckOutExtension("ImageAnalyst")
UpdateAccuracyAssessmentPoints("c:\\test\\aapnt1.shp", "c:\\test\\grndtru.tif", "c:\\test\\aapnt2.shp", "GROUND_TRUTH")Environments
Licensing information
- Basic: Requires Image Analyst or Spatial Analyst
- Standard: Requires Image Analyst or Spatial Analyst
- Advanced: Requires Image Analyst or Spatial Analyst