Region-Based Change Detection for Polarimetric SAR Images Using Wishart Mixture Models

IEEE Transactions on Geoscience and Remote Sensing

Volumn 54, Issue 11, 2016, Pages 6746-6756

  Yang, Wen ^a,b   Yang, Xiangli ^a   Yan, Tianheng ^a   Song, Hui ^a   Xia, Gui Song ^a,b  

^a WUHAN UNIVERSITY   (China)

^b Mapping and Remote Sensing   (China)

Author keywords

Change detection; polarimetric synthetic aperture radar (PolSAR); similarity measurement; Wishart mixture models (WMMs)

Indexed keywords

IMAGE SEGMENTATION; INFORMATION THEORY; ITERATIVE METHODS; MARKOV PROCESSES; MIXTURES; POLARIMETERS; RADAR IMAGING; SIGNAL DETECTION; SYNTHETIC APERTURE RADAR;

ANALYTIC EXPRESSIONS; ITERATIVE CLUSTERING; POLARIMETRIC SYNTHETIC APERTURE RADARS; POST-CLASSIFICATION COMPARISON ALGORITHMS; QUANTITATIVE EVALUATION; STATISTICAL DISTRIBUTION; THRESHOLDING METHODS; UNSUPERVISED CHANGE DETECTION;

CLUSTERING ALGORITHMS;

ALGORITHM; DETECTION METHOD; IMAGE PROCESSING; MEASUREMENT METHOD; NUMERICAL MODEL; PERFORMANCE ASSESSMENT; SMOOTHING; SPECKLE; STATISTICAL DISTRIBUTION; SYNTHETIC APERTURE RADAR;

EID: 84981320989     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2016.2590145     Document Type: Article

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