LinearUnmixing

Available with Image Analyst license.

Available with Spatial Analyst license.

Summary

Performs subpixel classification and calculates the fractional abundance of land-cover types for individual pixels.

Discussion

For more information about how this function works, see the Linear Spectral Unmixing 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

LinearUnmixing (in_raster, in_spectral_profile_file, {value_option})

Parameter	Explanation	Data Type
in_raster	The input raster.	Raster
in_spectral_profile_file	The path to the spectral profile for the various land cover classes. This can be provided as a polygon feature class, a classifier definition file (.ecd) generated from the Train Maximum Likelihood Classifier tool, or a JSON file (.json) that contains the class spectral profiles.	String
value_option	Specifies how the output pixel values will be defined. SUM_TO_ONE—Class values for each pixel will be provided in decimal format with the sum of all classes equal to 1; for example, Class1 = 0.16; Class2 = 0.24; Class3 = 0.60. NON_NEGATIVE—There will be no negative output values. Both options can be specified by delimiting with a semicolon: "SUM_TO_ONE;NON_NEGATIVE".	String

Return Value

Data Type	Explanation
Raster	The output raster.