Robust Matrix Discriminative Analysis for Feature Extraction From Hyperspectral Images
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DOI: 10.1109/jstars.2017.2658948
Abstract: Linear discriminative analysis (LDA) is an effective feature extraction method for hyperspectral image (HSI) classification. Most of the existing LDA-related methods are based on spectral features, ignoring spatial information. Recently, a matrix discriminative analysis (MDA)… read more here.
Keywords: analysis; discriminative analysis; model; matrix discriminative ... See more keywords