• DocumentCode
    2963333
  • Title

    A Novel Method of Visualization for SAR Images

  • Author

    Zhou, Guangyi ; Zhong, Hua ; Yang, Jian

  • Author_Institution
    Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
  • Volume
    2
  • fYear
    2011
  • fDate
    28-29 March 2011
  • Firstpage
    373
  • Lastpage
    376
  • Abstract
    Visual interpretation of SAR images plays a critical role in remote sensing applications. For obtaining the image suitable for human observation, a new method of visualization for SAR images is proposed in this paper. The proposed algorithm takes a negative exponential transformation on the original SAR image. The parameter of the transformation can be computed rapidly based on the characteristic statistics of the SAR images. Using several areas of a NASA/JPL AIRSAR images, the effectiveness of the proposed method is demonstrated by comparing with two commonly used algorithms.
  • Keywords
    data visualisation; radar imaging; remote sensing by radar; statistical analysis; synthetic aperture radar; NASA-JPL AIRSAR images; SAR image visualization; characteristic statistics; negative exponential transformation; remote sensing; Estimation; Histograms; Humans; NASA; Pixel; Synthetic aperture radar; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation (ICICTA), 2011 International Conference on
  • Conference_Location
    Shenzhen, Guangdong
  • Print_ISBN
    978-1-61284-289-9
  • Type

    conf

  • DOI
    10.1109/ICICTA.2011.377
  • Filename
    5750902