• DocumentCode
    3507820
  • Title

    Estimation of Medium Permittivity for Subsurface Radar Imaging Based on Conditional Entropy Metrics

  • Author

    Flores-Tapia, Daniel ; Thomas, Gabriel ; Flores, Benjamin C.

  • Author_Institution
    Manitoba Univ., Winnipeg, Man.
  • fYear
    2005
  • fDate
    12-14 Oct. 2005
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In order to obtain a high resolution inverse synthetic aperture radar image, the kinematic parameters of the target must be estimated in order to focus the image. Entropy metrics have been a popular technique to achieve good estimates. For subsurface radar imagery, the parameter needed for focusing purposes is the permittivity of the medium. Unlike airborne radar, subsurface back scattering occurs in a noisy environment and the use of this traditional metric does not yield good results. In this paper, the authors proposed the use of a denoising technique and a conditional entropy metric that overcomes the difficulties encounter when using an entropy calculation as a focal quality indicator
  • Keywords
    entropy; image denoising; image resolution; permittivity; radar imaging; radar resolution; synthetic aperture radar; conditional entropy metrics; denoising technique; focal quality indicator; focusing purposes; image resolution; inverse synthetic aperture radar; medium permittivity; subsurface back scattering; subsurface radar imaging; Airborne radar; Entropy; Focusing; Ground penetrating radar; High-resolution imaging; Image resolution; Inverse synthetic aperture radar; Kinematics; Permittivity; Radar scattering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applied Electromagnetics and Communications, 2005. ICECom 2005. 18th International Conference on
  • Conference_Location
    Dubrovnik
  • Print_ISBN
    953-6037-44-0
  • Type

    conf

  • DOI
    10.1109/ICECOM.2005.204988
  • Filename
    1613495