Class-Level Joint Sparse Representation for Multifeature-Based Hyperspectral Image Classification

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

Volumn 9, Issue 9, 2016, Pages 4160-4177

  Zhang, Erlei ^a   Jiao, Licheng ^a   Zhang, Xiangrong ^a   Liu, Hongying ^a   Wang, Shuang ^a  

^a XIDIAN UNIVERSITY   (China)

Author keywords

Class level sparsity pattern; feature extraction; hyperspectral imagery (HSI) classification; multifeature; orthogonal matching pursuit

Indexed keywords

IMAGE MATCHING; INDEPENDENT COMPONENT ANALYSIS; PIXELS; SPECTROSCOPY;

COMPETITIVE PERFORMANCE; HYPER-SPECTRAL IMAGES; HYPERSPECTRAL IMAGE CLASSIFICATION; MULTIPLE FEATURES; ORTHOGONAL MATCHING PURSUIT; SPARSE REPRESENTATION; SPATIAL INFORMATIONS; STATE-OF-THE-ART ALGORITHMS;

IMAGE CLASSIFICATION;

ALGORITHM; IMAGE CLASSIFICATION; NONLINEARITY; PIXEL; SPECTRAL ANALYSIS;

EID: 84959422095     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2016.2522182     Document Type: Article

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