Bayesian hyperspectral image segmentation with discriminative class learning

IEEE Transactions on Geoscience and Remote Sensing

Volumn 49, Issue 6 PART 1, 2011, Pages 2151-2164

  Borges, Janete S ^a   Bioucas Dias, José M ^b   Marcal, Andre R S ^a  

^a UNIVERSITY OF PORTO   (Portugal)

^b INSTITUTO DE TELECOMUNICAÇÕES   (Portugal)

Author keywords

Bayesian methods; hyperspectral imaging; image classification; image segmentation

Indexed keywords

BAYESIAN METHODS; BAYESIAN SEGMENTATION; CLASS LABELS; COMPONENTWISE; DECISION REGIONS; DISCRIMINATIVE MODELS; GENERALIZATION CAPACITY; HYPER-PARAMETER; HYPER-SPECTRAL IMAGES; HYPERSPECTRAL IMAGE DATAS; HYPERSPECTRAL IMAGING; INTEGER OPTIMIZATION; JEFFREYS PRIOR; LAPLACIANS; LARGE DATASETS; MAXIMUM A POSTERIORI; MULTI-LEVEL LOGISTICS; MULTINOMIAL LOGISTIC REGRESSION; MULTINOMIALS; OPTIMIZATION ALGORITHMS; POSTERIOR CLASS PROBABILITIES; REGULARIZATION PARAMETERS; SEGMENTATION RESULTS; SPATIAL INFORMATIONS; SPATIAL PRIORS; SPECTRAL INFORMATION; SPECTRAL VECTOR;

BAYESIAN NETWORKS; COMPUTATIONAL COMPLEXITY; INDEPENDENT COMPONENT ANALYSIS; INTEGER PROGRAMMING; LAPLACE TRANSFORMS; OPTIMIZATION; PROBABILITY DISTRIBUTIONS; REGRESSION ANALYSIS;

IMAGE SEGMENTATION;

BAYESIAN ANALYSIS; DATA SET; IMAGE CLASSIFICATION; LAPLACE TRANSFORM; LEARNING; LOGISTICS; MARKOV CHAIN; OPTIMIZATION; PROBABILITY;

EID: 79957639950     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2010.2097268     Document Type: Article

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