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Superresolution mapping can predict the spatial location of land cover classes within mixed pixels based on the spatial dependence assumption. We propose a novel superresolution mapping method via multidictionary-based sparse representation, which is robust to noise in both the learning and class-allocation process. In the proposed method, the subpixel number belonging to each class is obtained according...
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