Multiobjective Hyperspectral Feature Selection Based on Discrete Sine Cosine Algorithm

Feature selection is an effective way to reduce the data dimensionality of hyperspectral imagery and obtain a better performance in the subsequent applications, such as classification. The ideal approach is to obtain the optimal tradeoff between two criteria for hyperspectral image feature selection...

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