Bayesian Fusion of Multispectral and Hyperspectral Images Using a Block Coordinate Descent Method - Complementary results and supporting materials


This paper studies a new Bayesian optimization algorithm for fusing hyperspectral and multispectral images. The hyperspectral image is supposed to be obtained by blurring and subsampling a high spatial and high spectral target image. The multispectral image is modeled as a spectral mixing version of the target image. By introducing appropriate priors for… (More)


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