• DocumentCode
    2981404
  • Title

    Research on statistical analysis of SAR images

  • Author

    Qian-qian, Zhan ; Hong-jian, You ; Wen, Hong

  • Author_Institution
    Inst. of Electron., Chinese Acad. of Sci., Beijing, China
  • fYear
    2009
  • fDate
    26-30 Oct. 2009
  • Firstpage
    864
  • Lastpage
    867
  • Abstract
    The statistic distribution of SAR image plays an important role in SAR image processing, and it has a great influence on the results. In practical applications, the distribution is often specified by human through experience, but in fact the distribution changes with different pictures of different scenes. In this paper we first find a way to determine the form of the image distribution with Pearson System, and then we use the Chebyshev-Hermite polynomials and the statistical properties of SAR image to get the Edgeworth expansion. Finally, we practice the distribution simulation on four different types of scene (the ocean, the town, the mountain and the agricultural fields). The experimental results prove the efficiency and the accuracy of these two methods, and will lay a good foundation for the follow-up steps in image processing.
  • Keywords
    Chebyshev approximation; polynomial approximation; radar imaging; statistical distributions; synthetic aperture radar; Chebyshev-Hermite polynomials; Pearson system; SAR image; SAR image processing; edge worth expansion; statistical analysis; statistical distribution; Electromagnetic scattering; Gaussian distribution; Image processing; Image resolution; Laboratories; Layout; Optical imaging; Optical scattering; Statistical analysis; Statistical distributions; Edgeworth expansion; Pearson System; SAR; statistical distribution;
  • 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.2009.5374192
  • Filename
    5374192