Hyperspectral Image Classification Via Shape-Adaptive Joint Sparse Representation

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Volumn 9, Issue 2, 2016, Pages 556-567

  Fu, Wei ^a   Li, Shutao ^a   Fang, Leyuan ^a   Kang, Xudong ^a   Benediktsson, Jon Atli ^b  

^a HUNAN UNIVERSITY   (China)

^b UNIVERSITY OF ICELAND   (Iceland)

Author keywords

Classification; hyperspectral image (HSI); shape Adaptive algorithm; sparse representation

Indexed keywords

ADAPTIVE ALGORITHMS; CLASSIFICATION (OF INFORMATION); INDEPENDENT COMPONENT ANALYSIS; MICROCOMPUTERS; PIXELS; PRINCIPAL COMPONENT ANALYSIS; SPECTROSCOPY;

CLASSIFICATION APPROACH; FIRST PRINCIPAL COMPONENTS; HYPERSPECTRAL IMAGE CLASSIFICATION; HYPERSPECTRAL IMAGES; SPARSE REPRESENTATION; SPATIAL INFORMATIONS; SPATIAL STRUCTURE; SPATIAL VARIATIONS;

IMAGE CLASSIFICATION;

ALGORITHM; IMAGE CLASSIFICATION; IMAGING METHOD; MULTISPECTRAL IMAGE; PIXEL; PRINCIPAL COMPONENT ANALYSIS; SPATIAL VARIATION;

EID: 84942436873     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2015.2477364     Document Type: Article

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