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Volume 31 Issue 11
Dec.  2010
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Liu Ai-ping, Fu Kun, You Hong-jian, Liu Zhong. SAR Image Segmentation Based on Multiscale AutoRegressive and Markov Random Field Models[J]. Journal of Electronics & Information Technology, 2009, 31(11): 2556-2562. doi: 10.3724/SP.J.1146.2008.01543
Citation: Liu Ai-ping, Fu Kun, You Hong-jian, Liu Zhong. SAR Image Segmentation Based on Multiscale AutoRegressive and Markov Random Field Models[J]. Journal of Electronics & Information Technology, 2009, 31(11): 2556-2562. doi: 10.3724/SP.J.1146.2008.01543

SAR Image Segmentation Based on Multiscale AutoRegressive and Markov Random Field Models

doi: 10.3724/SP.J.1146.2008.01543
  • Received Date: 2008-11-24
  • Rev Recd Date: 2009-05-20
  • Publish Date: 2009-11-19
  • A method of SAR image segmentation based on Multiscale AutoRegressive and Markov Random Field (MAR-MRF) models is presented. MAR models is used to establish mathematic relationship among different image layers, and is combined with Markov Random Field (MRF) segment models. This method takes into account the dependence of neighbor layers Markov property of the same layer, and uses forecasting result of the MAR models to direct the fine layer segmentation. Experimental results on SAR image show that this method reduces the iterative times of segmentation and inaccuracy classify blocks, and gets clear and smooth object border.
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