• DocumentCode
    1360366
  • Title

    Imaging of two-dimensional targets buried in a lossy earth with unknown characteristics from multi-frequency and multi-monostatic data

  • Author

    Liu, Y.L. ; Li, Lily L. ; Li, Fan

  • Author_Institution
    Inst. of Electron., Chinese Acad. of Sci., Beijing, China
  • Volume
    4
  • Issue
    10
  • fYear
    2010
  • fDate
    10/1/2010 12:00:00 AM
  • Firstpage
    1647
  • Lastpage
    1653
  • Abstract
    The problem of imaging of 2-D dielectric objects embedded in a lossy earth is considered with unknown permittivity and conductivity of the lossy background. Under Born approximation, the spectral form of the Green´s function in half-space is employed to formulate the half-space imaging algorithm with multi-frequency and multi-monostatic data. Hence the fast Fourier transform can be used to achieve real-time imaging in a very short computation time. Inspired by the principle of time reversed imaging, a refocusing time factor has been introduced into the refocusing formulation. The optimal focusing time can be determined according to minimum entropy criterion. At the optimal focusing time a satisfactory image can be obtained regardless of the unknown characteristics of the earth. Numerical results have shown that the proposed algorithm can provide a high quality focused image in a short time despite the inaccurate estimation of earth electric parameters.
  • Keywords
    Green´s function methods; approximation theory; buried object detection; entropy; fast Fourier transforms; geophysical image processing; image reconstruction; permittivity; remote sensing; 2D dielectric object imaging; Born approximation; Green´s function; fast Fourier transform; half-space imaging algorithm; image reconstruction; lossy background conductivity; minimum entropy criterion; multifrequency data; multimonostatic data; permittivity; refocusing time factor; time reversed imaging; two-dimensional target imaging;
  • fLanguage
    English
  • Journal_Title
    Microwaves, Antennas & Propagation, IET
  • Publisher
    iet
  • ISSN
    1751-8725
  • Type

    jour

  • DOI
    10.1049/iet-map.2009.0235
  • Filename
    5609063