A Sparse and Low-Rank Near-Isometric Linear Embedding Method for Feature Extraction in Hyperspectral Imagery Classification

Title
A Sparse and Low-Rank Near-Isometric Linear Embedding Method for Feature Extraction in Hyperspectral Imagery Classification
Authors
Keywords
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Journal
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
Volume 55, Issue 7, Pages 4032-4046
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Online
2017-04-13
DOI
10.1109/tgrs.2017.2686842

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