Sparse Hilbert Schmidt Independence Criterion and Surrogate-Kernel-Based Feature Selection for Hyperspectral Image Classification

Bharath Bhushan Damodaran, Nicolas Courty, Sébastien Lefèvre
April, 2017
Cite DOI URL
Type
Journal article
Publication
IEEE Transactions on Geoscience and Remote Sensing

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Hyperspectral Image Classification ; Hilbert Schmidt Independence Criterion (HSIC) ; LASSO ; Surrogate Kernel (SK). ; Band Selection ; Class Separability Measure ; Feature Selection ; Kernel Methods