Hyperspectral Image Classification Using Spectral-Spatial Composite Kernels Discriminant Analysis

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

Volumn 8, Issue 6, 2015, Pages 2341-2350

  Li, Hong ^a   Ye, Zhijing ^a   Xiao, Guangrun ^b  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b HUBEI UNIVERSITY OF ARTS AND SCIENCE   (China)

Author keywords

Composite kernels discriminant analysis (CKDA); Gaussian weighted local mean operator (GWLM); spatial information; spectral information

Indexed keywords

CLASSIFICATION (OF INFORMATION); DISCRIMINANT ANALYSIS; IMAGE ANALYSIS; INDEPENDENT COMPONENT ANALYSIS; INFORMATION ANALYSIS; PERSONNEL TRAINING; SPECTROSCOPY;

COMPOSITE KERNELS; HYPERSPECTRAL IMAGE CLASSIFICATION; HYPERSPECTRAL IMAGES; LOCAL MEAN; SPATIAL INFORMATIONS; SPATIAL KERNELS; SPECTRAL INFORMATION; STATE OF THE ART;

IMAGE CLASSIFICATION;

DISCRIMINANT ANALYSIS; GAUSSIAN METHOD; IMAGE CLASSIFICATION; NUMERICAL MODEL; REMOTE SENSING; SPATIAL DATA; SPECTRAL ANALYSIS;

EID: 84939243683     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2014.2360694     Document Type: Article

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