Unsupervised change detection in multitemporal SAR images using MRF models

Geo-Spatial Information Science

Volumn 10, Issue 2, 2007, Pages 111-116

  Jiang, Liming ^a   Liao, Mingsheng ^b   Zhang, Lu ^b   Lin, Hui ^a  

^a CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

^b The Chinese University of Hongkong ^*

Author keywords

Change detection; EM algorithm; Markov random field; Multitemporal SAR image

Indexed keywords

IMAGE SEGMENTATION; ITERATIVE METHODS; MAGNETORHEOLOGICAL FLUIDS; MARKOV PROCESSES; PIXELS; STOCHASTIC MODELS; STOCHASTIC SYSTEMS; SYNTHETIC APERTURE RADAR;

CHANGE DETECTION; CHANGE DETECTION ALGORITHMS; CONTEXTUAL INFORMATION; EM ALGORITHMS; MARKOV RANDOM FIELDS; MIXED GAUSSIAN DISTRIBUTIONS; MULTI-TEMPORAL SAR IMAGES; UNSUPERVISED CHANGE DETECTION;

RADAR IMAGING;

ALGORITHM; DETECTION METHOD; ERS-2; ESTIMATION METHOD; IMAGE ANALYSIS; MARKOV CHAIN; SEGMENTATION; SPATIAL ANALYSIS; STATISTICAL ANALYSIS; SYNTHETIC APERTURE RADAR;

EID: 34547491248     PISSN: 10095020     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11806-007-0051-y     Document Type: Article

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