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Volume 33 Issue 2
Mar.  2011
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Jia Ya-Fei, Zhao Feng-Jun, Yu Wei-Dong, Ai Jia-Qiu. SAR Image Segmentation Based on Diffusion Equations and MRF[J]. Journal of Electronics & Information Technology, 2011, 33(2): 363-368. doi: 10.3724/SP.J.1146.2010.00342
Citation: Jia Ya-Fei, Zhao Feng-Jun, Yu Wei-Dong, Ai Jia-Qiu. SAR Image Segmentation Based on Diffusion Equations and MRF[J]. Journal of Electronics & Information Technology, 2011, 33(2): 363-368. doi: 10.3724/SP.J.1146.2010.00342

SAR Image Segmentation Based on Diffusion Equations and MRF

doi: 10.3724/SP.J.1146.2010.00342
  • Received Date: 2010-04-01
  • Rev Recd Date: 2010-08-02
  • Publish Date: 2011-02-19
  • A novel image diffusion equations and Markov Random Field (MRF)-based segmentation method for SAR images is proposed. The method involves the image diffusion based on the traditional MRF method. It is used to smooth the noise components in the SAR image, protect the desired object boundaries, and reduce the iterative times. The input SAR image is initially smoothed. Estimates of posterior probabilities are then obtained using MRF. The posterior probability is also smoothed using diffusion. Comparing with the traditional MRF method, this method wipes off the inaccuracy classified blocks, and reduces the cost of time.
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