Manifold-based sparse representation for hyperspectral image classification

IEEE Transactions on Geoscience and Remote Sensing

Volumn 52, Issue 12, 2014, Pages 7606-7618

  Tang, Yuan Yan ^a,b   Yuan, Haoliang ^a   Li, Luoqing ^c  

^a UNIVERSITY OF MACAU   (Macao)

^b CHONGQING UNIVERSITY   (China)

^c HUBEI UNIVERSITY   (China)

Author keywords

Classification; hyperspectral image (HSI); Laplacian eigenmap (LE); locally linear embedding (LLE); manifold learning; sparse representation

Indexed keywords

CLASSIFICATION (OF INFORMATION); SPECTROSCOPY;

HYPERSPECTRAL IMAGES; LAPLACIAN EIGENMAP; LOCALLY LINEAR EMBEDDING; MANIFOLD LEARNING; SPARSE REPRESENTATION;

IMAGE CLASSIFICATION;

ALGORITHM; EIGENVALUE; IMAGE CLASSIFICATION; NUMERICAL MODEL; SPECTRAL ANALYSIS;

EID: 84903270810     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2014.2315209     Document Type: Article

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