Region-based classification by combining MS segmentation and MRF for POLSAR images

Journal of Systems Engineering and Electronics

Volumn 24, Issue 3, 2013, Pages 400-409

  Zhang, Bin ^a,b   Ma, Guorui ^a   Zhang, Zhi ^b   Qin, Qianqing ^a  

^a WUHAN UNIVERSITY   (China)

^b CHINA UNIVERSITY OF GEOSCIENCES   (China)

Author keywords

Classification; Markov random field (MRF); Maximum a posteriori (MAP); Mean shift (MS); Polarimetric synthetic aperture radar (POLSAR)

Indexed keywords

CLASSIFICATION (OF INFORMATION); CLUSTERING ALGORITHMS; MARKOV PROCESSES; NASA; POLARIMETERS; RADAR; STRUCTURAL FRAMES; SYNTHETIC APERTURE RADAR;

AGGLOMERATIVE HIERARCHICAL CLUSTERING; CLASSIFICATION METHODS; CONTEXTUAL INFORMATION; MARKOV RANDOM FIELDS; MAXIMUM A POSTERIORI; MEAN SHIFT; POLARIMETRIC SYNTHETIC APERTURE RADARS; UNSUPERVISED CLASSIFICATION;

IMAGE SEGMENTATION;

EID: 84992343450     PISSN: 16711793     EISSN: None     Source Type: Journal    
DOI: 10.1109/JSEE.2013.00048     Document Type: Article

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