Abstract: An image processing system combines higher-resolution panchromatic images and lower resolution multispectral images using a hyperspherical color space pan-sharpening technique. By converting the multispectral images into a hyperspherical color space, the intensities of the multispectral images can be intensity matched to the intensities of the panchromatic image and then retransformed back to the original color space. The intensity matching can utilize a number of techniques, including, but not limited to, direct substitution of the intensities of the panchromatic image for the intensities of the multispectral images, modification of the intensities of the multispectral images based on predefined statistical models and modification of the intensities of the multispectral images based on dynamically generated statistical models and a selected sharpening parameter ?.

Abstract: An image processing system combines higher-resolution panchromatic images and lower resolution multispectral images using a hyperspherical color space pan-sharpening technique. By converting the multispectral images into a hyperspherical color space, the intensities of the multispectral images can be intensity matched to the intensities of the panchromatic image and then retransformed back to the original color space. The intensity matching can utilize a number of techniques, including, but not limited to, direct substitution of the intensities of the panchromatic image for the intensities of the multispectral images, modification of the intensities of the multispectral images based on predefined statistical models and modification of the intensities of the multispectral images based on dynamically generated statistical models and a selected sharpening parameter ?.

Abstract: Method for pan sharpening a synoptic pair of multispectral images. Each multispectral image contains multiple spectral bands of M band groups, where M is a number of band groups in a range of 1 to M. A panchromatic image associated with the synoptic pair and having a p band is also provided. for each band group m in the range of 1 to M, the method includes the steps of (a) upsampling band group m; (b) pan sharpening band group m using the p band; (c) producing a pan sharpened result for band group m; and repeating steps (a)-(c) to produce pan sharpened results for each band group from 1 to M. Pan sharpened results for band groups 1 to M are fused together to produce a master fused image.

Abstract: An image processing system using hyperspherical pan-sharpening. The image processing system of the present invention includes circuitry for converting the multispectral image into a hyperspherical color space, matching the intensities of the multispectral image to the intensities of the corresponding panchromatic image and then retransforming the color space back the original multispectral image. The intensity matching of the present invention includes modification of the intensities of the multispectral images based on dynamically generated statistical models and a selected sharpening parameter ?.

Abstract: An image processing system combines higher-resolution panchromatic images and lower resolution multispectral images using a hyperspherical color space pan-sharpening technique. By converting the multispectral images into a hyperspherical color space, the intensities of the multispectral images can be intensity matched to the intensities of the panchromatic image and then retransformed back to the original color space. The intensity matching can utilize a number of techniques, including, but not limited to, direct substitution of the intensities of the panchromatic image for the intensities of the multispectral images, modification of the intensities of the multispectral images based on predefined statistical models and modification of the intensities of the multispectral images based on dynamically generated statistical models and a selected sharpening parameter ?.