Hyperspectral Feature Extraction Using Total Variation Component Analysis

IEEE Transactions on Geoscience and Remote Sensing

Volumn 54, Issue 12, 2016, Pages 6976-6985

  Rasti, Behnood ^a   Ulfarsson, Magnus Orn ^a   Sveinsson, Johannes R ^a  

^a UNIVERSITY OF ICELAND   (Iceland)

Author keywords

Classification; cyclic descent (CD); feature extraction (FE); hyperspectral image; low rank model; total variation (TV) component analysis

Indexed keywords

EXTRACTION; FEATURE EXTRACTION; IMAGE RESOLUTION; OPTIMIZATION; SPECTROSCOPY;

CLASSIFICATION ACCURACY; FEATURE EXTRACTION METHODS; HIGH SPATIAL RESOLUTION; HYPER-SPECTRAL IMAGES; MINIMIZATION PROBLEMS; OPTIMIZATION PROBLEMS; STATE-OF-THE-ART METHODS; URBAN HYPERSPECTRAL IMAGES;

CLASSIFICATION (OF INFORMATION);

ALGORITHM; DATA MINING; IMAGE CLASSIFICATION; NUMERICAL MODEL; OPTIMIZATION; PRINCIPAL COMPONENT ANALYSIS; REMOTE SENSING; SATELLITE DATA; SPATIAL RESOLUTION; SPECTRAL ANALYSIS;

EID: 84981321229     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2016.2593463     Document Type: Article

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