The Pansharpening function uses a higher-resolution panchromatic image or raster band to fuse with a lower-resolution, multiband raster dataset to increase the spatial resolution of the multiband image.
To learn about pan sharpening, see Fundamentals of panchromatic sharpening.
The purpose of pan sharpening is to create a higher quality visual image. Since the techniques alter the radiometry and spectral characteristics of the multiband imagery, pan sharpened imagery needs to be used with caution for analytical remote sensing purposes.
The weights used for each band are relative, and will be normalized when they are used.
The Pansharpening function can be used in a mosaic dataset.
The multispectral raster dataset that you want to sharpen using the panchromatic band.
The high-resolution, single-band raster dataset that will be used to pan sharpen the lower-resolution multispectral raster.
Choose the pan sharpening algorithm you want to use.
When the Gram-Schmidt algorithm is chosen, you can also specify the sensor that collected the multiband raster input. Choosing the sensor type will set appropriate band weights.
Specify the weight for the red band. The value should be within the range of 0 to 1.
Specify the weight for the green band. The value should be within the range of 0 to 1.
Specify the weight for the blue band. The value should be within the range of 0 to 1.
Specify the weight for the infrared band. The value should be within the range of 0 to 1.