Subspace-projection-based geometric unmixing for material quantification in hyperspectral imagery

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

Volumn 7, Issue 6, 2014, Pages 1966-1975

  Yang, Huadong ^a   An, Jubai ^a   Zhu, Chuang ^a  

^a DALIAN MARITIME UNIVERSITY   (China)

Author keywords

Abundance estimation; fully constrained least squares (FCLSs); geometric unmixing; hyperspectral images; nonnegativity constraint; subspace projection

Indexed keywords

CONVEX OPTIMIZATION; ITERATIVE METHODS; OPTIMIZATION; REMOTE SENSING; SPECTROSCOPY;

ABUNDANCE ESTIMATION; FULLY CONSTRAINED LEAST SQUARES (FCLS); HYPER-SPECTRAL IMAGES; NON-NEGATIVITY CONSTRAINTS; SUBSPACE PROJECTION; UNMIXING;

LEAST SQUARES APPROXIMATIONS;

AVIRIS; IMAGE ANALYSIS; IMAGE RESOLUTION; LEAST SQUARES METHOD; NUMERICAL MODEL; PIXEL; REMOTE SENSING; SATELLITE DATA; SATELLITE IMAGERY;

EID: 84905922496     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2014.2328581     Document Type: Article

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