• DocumentCode
    2981730
  • Title

    The despeckling of SAR image based on the curvelet transform

  • Author

    Hou, Biao ; Liu, Honghua ; Jiao, Licheng

  • Author_Institution
    Key Lab. of Intell. Perception & Image Understanding of Minist. of Educ. of China, Xidian Univ., Xi´´an, China
  • fYear
    2009
  • fDate
    26-30 Oct. 2009
  • Firstpage
    1080
  • Lastpage
    1083
  • Abstract
    A novel method of speckle suppression for SAR image based on the curvelet transform is presented. A Bayesian shrinkage factor is derived to shrink the curvelet coefficients, then the mean filter and the nonlinear anisotropic diffusion are used to deal with the reconstructed image. Experimental results show that the proposed method can effectively suppress the speckle while keep the edge and other details.
  • Keywords
    curvelet transforms; image reconstruction; radar imaging; synthetic aperture radar; Bayesian shrinkage factor; SAR image despeckling; curvelet coefficients; curvelet transform; mean filter; nonlinear anisotropic diffusion; reconstructed image; speckle suppression; Additive noise; Anisotropic magnetoresistance; Bayesian methods; Filters; Gaussian distribution; Gaussian noise; Histograms; Image reconstruction; Laboratories; Speckle; SAR image; curvelet transform; diffusion; speckle suppression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Synthetic Aperture Radar, 2009. APSAR 2009. 2nd Asian-Pacific Conference on
  • Conference_Location
    Xian, Shanxi
  • Print_ISBN
    978-1-4244-2731-4
  • Electronic_ISBN
    978-1-4244-2732-1
  • Type

    conf

  • DOI
    10.1109/APSAR.2009.5374204
  • Filename
    5374204
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2981730