Normal Endmember Spectral Unmixing Method for Hyperspectral Imagery

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

Volumn 8, Issue 6, 2015, Pages 2598-2606

  Zhuang, Lina ^a,b   Zhang, Bing ^a   Gao, Lianru ^a   Li, Jun ^c   Plaza, Antonio ^d  

^a INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^b UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

^c SUN YAT SEN UNIVERSITY   (China)

^d UNIVERSITY OF EXTREMADURA   (Spain)

Author keywords

Endmember variability; hyperspectral imaging; normal compositional model (NCM); normal endmember spectral unmixing (NESU); particle swarm optimization (PSO); spectral unmixing

Indexed keywords

BAYESIAN NETWORKS; INFERENCE ENGINES; PARTICLE SWARM OPTIMIZATION (PSO); PIXELS; SPECTROSCOPY;

COMPOSITIONAL MODELING; ENDMEMBER VARIABILITIES; GAUSSIAN RANDOM VARIABLE; HYPER-SPECTRAL IMAGERIES; HYPER-SPECTRAL IMAGES; HYPERSPECTRAL IMAGING; PARTICLE SWARM OPTIMIZATION TECHNIQUE; SPECTRAL UNMIXING;

PARAMETER ESTIMATION;

ALGORITHM; BAYESIAN ANALYSIS; IMAGE ANALYSIS; NUMERICAL MODEL; OPTIMIZATION; PIXEL; REMOTE SENSING; SPECTRAL ANALYSIS;

EID: 85027937942     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2014.2360888     Document Type: Article

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