• DocumentCode
    3107835
  • Title

    New Unsupervised change detection algorithm based on the MRF in remote sensing image

  • Author

    Wei, Lifei ; Zhong, Yanfei ; Zhang, Liangpei ; Li, Pingxiang

  • Author_Institution
    Nat. Lab. for Inf. Eng. in Surveying, Mapping & Remote Sensing, Wuhan Univ., Wuhan, China
  • fYear
    2011
  • fDate
    11-13 April 2011
  • Firstpage
    325
  • Lastpage
    328
  • Abstract
    The most of traditional change detection methods are adopted to deal with the remote sensing images based on single threshold algorithm, the different threshold change information cannot be absolutely used, so it difficult to detect the complete information. To solve this problem, a new change detection algorithm based on the MRF is proposed in this paper. This method fully integrates the change information of each threshold change image, and the complete and accurate change information can be obtained. The experimental results suggest that the detection accuracy of this method in the paper, which has certain stability and intelligence outperform the traditional change detection methods.
  • Keywords
    image processing; remote sensing; MRF; remote sensing image; unsupervised change detection algorithm; Accuracy; Change detection algorithms; Computational modeling; Image resolution; Joints; Pixel; Remote sensing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Urban Remote Sensing Event (JURSE), 2011 Joint
  • Conference_Location
    Munich
  • Print_ISBN
    978-1-4244-8658-8
  • Type

    conf

  • DOI
    10.1109/JURSE.2011.5764785
  • Filename
    5764785