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Due to the high-dimension characteristics of hyperspectral data, dimensionality reduction is becoming an important problem in hyperspectral image classification. Band selection can retain the information which is capable of keeping the original physical meaning of the spectral channels, and thus it has attracted more research interests. This paper tackles the band selection problem from the perspective...
Due to the high dimensionality of hyperspectral data, dimension reduction is becoming an important problem in hyperspectral image classification. Band selection can retain the information which is capable of keeping the original meaning of the data, and thus has attracted more attention. This paper tackles the band selection problem from the perspective of multiple classifiers combination, which can...
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