Compute Pansharpen Weights (Data Management Tools)

Summary

Calculates an optimal set of pan sharpened weights for new or custom sensor data.

Usage

This tool will calculate an optimal set of pan sharpened weights, which can be used in other tools that require pan sharpened weights.
If a raster product is used as the Input Raster, the band order within the raster product template will be honored.

Label	Explanation	Data type
Input Raster	A multispectral raster that has a panchromatic band.	Mosaic Dataset; Mosaic Layer; Raster Dataset; Raster Layer
Panchromatic Image	The panchromatic band associated with the multispectral raster.	Raster Layer
Band Indexes (Optional)	The band order for the pan sharpened weights. If a raster product is used as the Input Raster, the band order within the raster product template will be used.	String

Label

Explanation

Data type

Input Raster

A multispectral raster that has a panchromatic band.

Mosaic Dataset; Mosaic Layer; Raster Dataset; Raster Layer

Panchromatic Image

The panchromatic band associated with the multispectral raster.

Raster Layer

Band Indexes

(Optional)

The band order for the pan sharpened weights.

If a raster product is used as the Input Raster, the band order within the raster product template will be used.

String

Derived output

Label	Explanation	Data type
Pan-sharpened Weights	The output pan sharpened weights.	String

arcpy.management.ComputePansharpenWeights(in_raster, in_panchromatic_image, {band_indexes})

Name Explanation Data type

Name	Explanation	Data type
in_raster	A multispectral raster that has a panchromatic band.	Mosaic Dataset; Mosaic Layer; Raster Dataset; Raster Layer
in_panchromatic_image	The panchromatic band associated with the multispectral raster.	Raster Layer
band_indexes (Optional)	The band order for the pan sharpened weights. If a raster product is used as the `in_raster` parameter, the band order within the raster product template will be used.	String

in_raster

A multispectral raster that has a panchromatic band.

Mosaic Dataset; Mosaic Layer; Raster Dataset; Raster Layer

in_panchromatic_image

The panchromatic band associated with the multispectral raster.

Raster Layer

band_indexes

(Optional)

The band order for the pan sharpened weights.

If a raster product is used as the in_raster parameter, the band order within the raster product template will be used.

String

Derived output

Name	Explanation	Data type
out_string	The output pan sharpened weights.	String

Code sample

ComputePansharpenWeights example 1 (Python window)

This is a Python sample for the ComputePansharpenWeights tool.

import arcpy
arcpy.management.ComputePansharpenWeights(
    "c:/data/rgb.tif", "c:/data/image.tif", "3 2 1 4")

ComputePansharpenWeights example 2 (stand-alone script)

This is a Python script sample for the ComputePansharpenWeights tool.

#Run Compute Pan Sharpen Weights tool using the bands 4,3,2,1

import arcpy

InMSraster = "C:\\Landsat7\\L71046029_02920050705_MTL.txt\\Multispectral"
InPANraster = "C:\\Landsat7\\L71046029_02920050705_MTL.txt\\Panchromatic"
band_index = "3 2 1 5"

arcpy.management.ComputePansharpenWeights(InMSraster, InPANraster, band_index)

ComputePansharpenWeights example 3 (workflow script)

This is a Python script sample to use the ComputePansharpenWeights output in another tool.

#Compute the pansharpening weights and use the results in the
#create pansharpening tool.

try:
    import arcpy

    InRGBraster = "C:\\temp\\rgb.img"
    InPanraster = "C:\\temp\\pan.tif"

    #Compute Pan Sharpen Weights
    out_pan_weight = arcpy.management.ComputePansharpenWeights(
        InRGBraster, InPanraster, "3 2 1 4")

    #Get results
    pansharpen_weights = out_pan_weight.getOutput(0)

    #Split the results string for weights of each band
    pansplit = pansharpen_weights.split(";")

    #Run the Create pan sharpened raster dataset tool.
    arcpy.management.CreatePansharpenedRasterDataset(
        InRGBraster, "3", "2", "1", "4", "C:\\temp\\pansharpened_raster.tif",
        InPanraster, "Gram-Schmidt", pansplit[0].split(" ")[1],
        pansplit[1].split(" ")[1], pansplit[2].split(" ")[1],
        pansplit[3].split(" ")[1])

except arcpy.ExecuteError:
    print(arcpy.GetMessages())
except Exception as err:
    print(err[0])

Environments

This tool does not use any geoprocessing environments.

Licensing information

Basic: Yes
Standard: Yes
Advanced: Yes

Compute Pansharpen Weights (Data Management Tools)

Summary

Usage

Parameters

Derived output

Environments

Licensing information

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