Integrating Hierarchical Segmentation Maps With MRF Prior for Classification of Hyperspectral Images in a Bayesian Framework

IEEE Transactions on Geoscience and Remote Sensing

Volumn 54, Issue 2, 2016, Pages 805-816

  Golipour, Meysam ^a   Ghassemian, Hassan ^a   Mirzapour, Fardin ^a  

^a TARBIAT MODARES UNIVERSITY   (Iran)

Author keywords

Classification; hierarchical segmentation; hyperspectral (HS) image; Markov random field (MRF); multilevel logistic (MLL); statistical region merging (SRM); subspace multinomial logistic regression (MLRsub); support vector machine (SVM)

Indexed keywords

IMAGE CLASSIFICATION; MARKOV PROCESSES; PROBABILITY DISTRIBUTIONS; SPECTROSCOPY; STRUCTURAL FRAMES; SUPPORT VECTOR MACHINES;

CLASSIFICATION RESULTS; CONDITIONAL PROBABILITY DISTRIBUTIONS; HIERARCHICAL SEGMENTATION; MULTI-LEVEL LOGISTICS; MULTINOMIAL LOGISTIC REGRESSION; SEGMENTATION ALGORITHMS; SPECTRAL-SPATIAL CLASSIFICATION; STATISTICAL REGION MERGING;

IMAGE SEGMENTATION;

BAYESIAN ANALYSIS; ESTIMATION METHOD; HOMOGENEITY; IMAGE CLASSIFICATION; NUMERICAL METHOD; REGRESSION ANALYSIS; SEGMENTATION; STATISTICAL ANALYSIS; SUPPORT VECTOR MACHINE;

EID: 84940757259     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2015.2466657     Document Type: Article

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