Orthogonal Subspace Projection-Based Go-Decomposition Approach to Finding Low-Rank and Sparsity Matrices for Hyperspectral Anomaly Detection

Low-rank and sparsity-matrix decomposition (LRaSMD) has received considerable interests lately. One of effective methods for LRaSMD is called go decomposition (GoDec), which finds low-rank and sparse matrices iteratively subject to the predetermined low-rank matrix order m and sparsity cardinality...

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Veröffentlicht in:IEEE transactions on geoscience and remote sensing 2021-03, Vol.59 (3), p.2403-2429
Hauptverfasser: Chang, Chein-I, Cao, Hongju, Chen, Shuhan, Shang, Xiaodi, Yu, Chunyan, Song, Meiping
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Sprache:eng
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