Spectral-spatial hyperspectral image segmentation using subspace multinomial logistic regression and Markov random fields

IEEE Transactions on Geoscience and Remote Sensing

Volumn 50, Issue 3, 2012, Pages 809-823

  Li, Jun ^a   Bioucas Dias, José M ^b   Plaza, Antonio ^a  

^a UNIVERSITY OF EXTREMADURA   (Spain)

^b INSTITUTO DE TELECOMUNICAÇÕES   (Portugal)

Author keywords

Hyperspectral image segmentation; Markov random field (MRF); Multinomial logistic regression (MLR); Subspace projection method

Indexed keywords

CLASSIFICATION (OF INFORMATION); HYPERSPECTRAL IMAGING; INTEGER PROGRAMMING; MARKOV PROCESSES; OPTIMIZATION; PROBABILITY DISTRIBUTIONS; REGRESSION ANALYSIS; REMOTE SENSING; SPECTROSCOPY; STRUCTURAL FRAMES;

HYPER-SPECTRAL IMAGERIES; HYPERSPECTRAL IMAGE DATAS; MARKOV RANDOM FIELD PRIORS; MARKOV RANDOM FIELDS; MULTINOMIAL LOGISTIC REGRESSION; STATE-OF-THE-ART PERFORMANCE; SUBSPACE PROJECTION METHODS; SUPERVISED SEGMENTATION;

IMAGE SEGMENTATION;

EID: 80052087931     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2011.2162649     Document Type: Article

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