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

Bharath Bhushan Damodaran, Nicolas Courty, Sébastien Lefèvre
April 2017
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Type
Journal article
Publication
IEEE Transactions on Geoscience and Remote Sensing
feature selection ; class separability measure ; Band selection ; surrogate kernel (SK). ; LASSO ; kernel methods ; Hilbert Schmidt independence criterion (HSIC) ; hyperspectral image classification