• DocumentCode
    461595
  • Title

    Robust Despeckle for SAR Image Using Multiscale Autoregressive Model

  • Author

    Wen, Xianbin ; Zhang, Hua ; Tian, Zheng

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Tianjin Univ. of Technol.
  • Volume
    1
  • fYear
    2006
  • fDate
    16-20 2006
  • Abstract
    We propose a novel, robust and multiscale despeckling method, based on the robust multiscale scale-recursive estimation algorithm of multiscale autoregressive (MAR) model on dyadic tree. First, a suitable MAR model, which provide a powerful framework for describing random process and fields that evolve in scale, is selected to model SAR image. Then, filtering for the image is given based on the robust scale-recursive optimal estimation algorithm. The proposed algorithm is not only computationally efficient but also capable of generating error statistics, as desired. Experiments over SAR images confirm the robustness of the filtering algorithm we proposed
  • Keywords
    autoregressive processes; error statistics; filtering theory; radar imaging; random processes; synthetic aperture radar; SAR image; dyadic tree; error statistics; filtering algorithm; multiscale autoregressive model; multiscale despeckling method; random process; robust multiscale scale-recursive estimation algorithm; robust scale-recursive optimal estimation algorithm; Computer science; Equations; Filtering algorithms; Filters; Noise measurement; Random processes; Robustness; Spatial resolution; Speckle; Synthetic aperture radar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, 2006 8th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7803-9736-3
  • Electronic_ISBN
    0-7803-9736-3
  • Type

    conf

  • DOI
    10.1109/ICOSP.2006.344511
  • Filename
    4128847