Unmixing of Hyperspectral images using bayesian non-negative matrix factorization with volume prior

Journal of Signal Processing Systems

Volumn 65, Issue 3, 2011, Pages 479-496

  Arngren, Morten ^a,b   Schmidt, Mikkel N ^a   Larsen, Jan ^a  

^a TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

^b Foss   (United States)

Author keywords

Bayesian source separation; Gibbs sampling; Hyperspectral image analysis; Volume regularization

Indexed keywords

CONSTRAINED METHOD; CREDIBLE INTERVAL; EFFICIENT ALGORITHM; ENDMEMBERS; GIBBS SAMPLING; HYPER-SPECTRAL IMAGES; HYPERSPECTRAL DATA; HYPERSPECTRAL IMAGE ANALYSIS; HYPERSPECTRAL IMAGING; NONNEGATIVE MATRIX FACTORIZATION; OBSERVED DATA; SOURCE SEPARATION; SPECTRAL UNMIXING; UNMIXING; VOLUME CONSTRAINT; VOLUME REGULARIZATION; WHEAT KERNELS;

BLIND SOURCE SEPARATION; GRAIN (AGRICULTURAL PRODUCT); INDEPENDENT COMPONENT ANALYSIS; INFERENCE ENGINES; SIGNAL PROCESSING;

FACTORIZATION;

EID: 81855194806     PISSN: 19398018     EISSN: 19398115     Source Type: Journal    
DOI: 10.1007/s11265-010-0533-2     Document Type: Article

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