Unsupervised multi-class segmentation of SAR images using triplet Markov fields models based on edge penalty

Pattern Recognition Letters

Volumn 32, Issue 11, 2011, Pages 1532-1540

  Wu, Yan ^a   Li, Ming ^a   Zhang, Peng ^a   Zong, Haitao ^a   Xiao, Ping ^b   Liu, Chunyan ^a  

^a XIDIAN UNIVERSITY   (China)

^b State Bureau of Surveying and Mapping   (China)

Author keywords

Edge penalty; Multi class segmentation; Multi region merging; New energy function; SAR image; Triplet Markov random field (TMF)

Indexed keywords

EDGE PENALTY; ENERGY FUNCTIONS; MARKOV RANDOM FIELDS; MULTI-CLASS; MULTI-REGION MERGING; SAR IMAGES;

ALGORITHMS; GAUSSIAN NOISE (ELECTRONIC); IMAGING SYSTEMS; MERGING; SYNTHETIC APERTURE RADAR;

IMAGE SEGMENTATION;

EID: 79957527724     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2011.04.009     Document Type: Article

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