Dynamic block-based parameter estimation for MRF classification of high-resolution images

IEEE Geoscience and Remote Sensing Letters

Volumn 11, Issue 10, 2014, Pages 1687-1691

  Aghighi, Hossein ^a,b   Trinder, John ^a   Tarabalka, Yuliya ^c   Lim, Samsung ^a  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

^b SHAHID BEHESHTI UNIVERSITY   (Iran)

^c INRIA   (France)

Author keywords

Classification; Markov random field (MRF); smoothing parameter; support vector machine (SVM)

Indexed keywords

CLASSIFICATION (OF INFORMATION); MARKOV PROCESSES; SPECTROSCOPY; SUPPORT VECTOR MACHINES;

CLASSIFICATION ACCURACY; CO-OCCURRENCE DISTRIBUTION; HIGH RESOLUTION IMAGE; HYPER-SPECTRAL IMAGES; MARKOV RANDOM FIELDS; OPTIMAL SMOOTHING PARAMETER; SMOOTHING PARAMETER; STATE-OF-THE-ART METHODS;

IMAGE CLASSIFICATION;

EID: 84901375505     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2014.2305913     Document Type: Article

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