Volume 31 Issue 4
Apr.  2006
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JIANG Liming, LIAO Mingsheng, ZHANG Lu, LIN Hui. Change Detection in Multitemporal SAR Images Using MRF Models[J]. Geomatics and Information Science of Wuhan University, 2006, 31(4): 312-315.
Citation: JIANG Liming, LIAO Mingsheng, ZHANG Lu, LIN Hui. Change Detection in Multitemporal SAR Images Using MRF Models[J]. Geomatics and Information Science of Wuhan University, 2006, 31(4): 312-315.
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Change Detection in Multitemporal SAR Images Using MRF Models

  • 1 State Key Laboratory for Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,129 Luoyu Road,Wuhan 430079,China;2 Institute of Space and Earth Information Science,Chinese University of Hong Kong,Shatin,N.T.,Hong Kong

Funds: 国家自然科学基金资助项目(60472039);遥感科学国家重点实验室开放研究基金资助项目(SK050005)
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  • Received Date: January 12, 2006
  • Revised Date: January 12, 2006
  • Published Date: April 04, 2006
    Graphical Abstract
    • Abstract
  • This paper proposes an unsupervised change-detection method considering the spatial-contextual information in the SAR log-ratio image.The expectation maximization(EM) algorithm is employed to automatically estimate the statistical parameters associated with changed and unchanged pixels,and the Markov random fields(MRF's) model is applied to characterize the contexture-dependent information.The experiment results show that the proposed method can improve accuracy and reliability of change-detection process.
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