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- W2625327848 abstract "Pansharpening first aims at fusing a panchromatic image witha multispectral image to generate an image with thehigh spatial resolution of the former and the spectral resolution of the latter. In the last decade many algorithmshave been presented in the literature for pansharpening using multispectral data. With the increasing availabilityof hyperspectral systems these methods are now extending tohyperspectral images. In this work, we attempt tocompare new pansharpening techniques designed for hyperspectral data with some of the state of the art methodsfor multispectral pansharpening, which have been adapted for hyperspectral data. Nine methods from differentclasses are analysed: component substitution, multiresolution analysis, hybrid, Bayesian and matrix decompositionapproaches. These techniques are evaluated with the Wald’sProcol on one dataset to characterize their performancesand their robustness." @default.
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- W2625327848 date "2015-01-01" @default.
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- W2625327848 title "Comparison of nine hyperspectral pansharpening methods" @default.
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