Spectral unmixing in multiple-kernel hilbert space for hyperspectral imagery

IEEE Transactions on Geoscience and Remote Sensing

Volumn 51, Issue 7, 2013, Pages 3968-3981

  Gu, Yanfeng ^a   Wang, Shizhe ^a,b   Jia, Xiuping ^c  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

^b CHINA ACADEMY OF SPACE TECHNOLOGY   (China)

^c UNIVERSITY OF NEW SOUTH WALES   (Australia)

Author keywords

Hyperspectral imagery; multiple kernel learning (MKL); reproducing kernel Hilbert space (RKHS); spectral unmixing; support vector machines (SVMs)

Indexed keywords

HYPER-SPECTRAL IMAGERIES; MULTIPLE-KERNEL LEARNING (MKL); REPRODUCING KERNEL HILBERT SPACES; SPECTRAL UNMIXING; SUPPORT VECTOR MACHINE (SVMS);

COMPUTATION THEORY; HILBERT SPACES; INDEPENDENT COMPONENT ANALYSIS; LEARNING ALGORITHMS; REMOTE SENSING; SPECTROSCOPY; SUPPORT VECTOR MACHINES; VECTOR SPACES;

PROBLEM SOLVING;

ALGORITHM; DATA SET; EXPERIMENTAL STUDY; NONLINEARITY; SPECTRAL ANALYSIS;

EID: 84880058339     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2012.2227757     Document Type: Article

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