• DocumentCode
    2109698
  • Title

    Imaging and inversion of buried objects using GPR

  • Author

    Van Den Berg, Peter M. ; Abubakar, Aria ; Budko, Neil V. ; Remis, Rob F.

  • Author_Institution
    Lab. of Electromagn. Res., Delft Univ. of Technol., Netherlands
  • Volume
    3
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    1377
  • Abstract
    The problem of detection of a buried object is formulated as an electromagnetic inverse scattering problem, using algorithms of increasing complexity. Our first approach consists of a back-projection of the measured data and this imaging algorithm enables the location of the suspicious areas, where further investigation is needed. The second approach is effective inversion, where a domain of interest is selected and an effective permittivity and conductivity inside the domain is computed using either a linear or a nonlinear optimization scheme. In our third approach we aim to invert the spatial distribution of the permittivity and conductivity inside the domain of interest. We employ either a linearized inversion scheme based on the Born approximation or a full non-linearized inverse method based on the contrast source inversion (CSI) method
  • Keywords
    buried object detection; electromagnetic wave scattering; inverse problems; military radar; optimisation; radar detection; radar imaging; synthetic aperture radar; weapons; Born approximation; CSI method; GPR; back-projection; buried objects; conductivity; contrast source inversion method; detection; effective permittivity; electromagnetic inverse scattering problem; full nonlinearized inverse method; imaging algorithm; inversion; linear optimization scheme; linearized inversion scheme; nonlinear optimization scheme; spatial distribution; suspicious areas; Approximation methods; Area measurement; Buried object detection; Conductivity; Electromagnetic measurements; Electromagnetic scattering; Ground penetrating radar; Inverse problems; Object detection; Permittivity measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2001. IGARSS '01. IEEE 2001 International
  • Conference_Location
    Sydney, NSW
  • Print_ISBN
    0-7803-7031-7
  • Type

    conf

  • DOI
    10.1109/IGARSS.2001.976850
  • Filename
    976850