Total variation regularized reweighted sparse nonnegative matrix factorization for hyperspectral unmixing

IEEE Transactions on Geoscience and Remote Sensing

Volumn 55, Issue 7, 2017, Pages 3909-3921

  He, Wei ^a   Zhang, Hongyan ^a   Zhang, Liangpei ^a  

^a Wuhan University   (China)

Author keywords

Blind unmixing; Hyperspectral image; Nonnegative matrix factorization (NMF); Reweighted sparsity; Total variation (TV)

Indexed keywords

FACTORIZATION; ITERATIVE METHODS;

HYPERSPECTRAL ANALYSIS; HYPERSPECTRAL UNMIXING; ITERATIVE SOLUTIONS; NONCONVEXITY; NONNEGATIVE MATRIX FACTORIZATION; PIECEWISE SMOOTH; SPARSE NON-NEGATIVE MATRIX FACTORIZATIONS; TOTAL VARIATION;

MATRIX ALGEBRA;

ALGORITHM; DATA ACQUISITION; DATA SET; EXPERIMENTAL DESIGN; IMAGE ANALYSIS; NUMERICAL MODEL;

EID: 85017164196     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2017.2683719     Document Type: Article

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