Hyperspectral pansharpening based on unmixing techniques
Pansharpening first aims at fusing a panchromatic image with a multispectral image to generate an image with the high spatial resolution of the former and the spectral resolution of the latter. In the last decade many pansharpening algorithms have been presented in the literature using multispectral data. With the increasing availability of hyperspectral systems these methods are now extending to hyperspectral images. But the problem of the mixed pixel is generally ignored by the existing methods since their goal is to preserve the spectral information and add spatial information. In this work we compare different approaches to deal with mixed pixels as a pre-processing step before doing the fusion. This should improved the result by adding missing spectral information available in the reference image because of the mixed pixel.