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Hyperspectral remote sensing images own rich spectral information to distinguish different land-cover classes. Sometimes, it may encounter the case that some classes have much fewer pixels than other classes. In this case, traditional classification methods are not appropriate because they are prone to assign all the pixels to the classes with a large number of pixels. For such an imbalanced problem,...
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