Band selection framework for hyperspectral images based on discriminability-oriented optimization mechanism
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Introduction: Hyperspectral images suffer from high dimensionality, inter-band redundancy, and noise interference, increasing computational cost and degrading classification performance. Conventional band selection methods often ... ...
