• DocumentCode
    357625
  • Title

    Inverse-scattering methods for three-dimensional targets buried in the lossy earth

  • Author

    Cui, T.J. ; Chew, W.C.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Illinois Univ., Urbana, IL, USA
  • Volume
    3
  • fYear
    2000
  • fDate
    16-21 July 2000
  • Firstpage
    1776
  • Abstract
    New diffraction tomographic (DT) algorithms for imaging three-dimensional (3D) buried objects are presented using electric and magnetic dipoles as transmitters and receivers, respectively, where the air-earth interface is taken into account. A general asymptotic formulation is developed to evaluate the Sommerfeld integrals, which is valid for any buried depth and measurement height. These algorithms are directly derived based on a lossy background and can be used by lower-frequency systems, from which objects deeply buried in the earth can be detected. Reconstruction examples are given to show the validity of these algorithms.
  • Keywords
    absorbing media; buried object detection; electromagnetic wave scattering; image reconstruction; image resolution; integral equations; inverse problems; magnetic moments; 3D buried objects imaging; Sommerfeld integrals; air-earth interface; buried depth; diffraction tomographic algorithms; electric dipoles; general asymptotic formulation; high spatial-resolution imaging; inverse-scattering methods; lossy background; lossy earth; lower-frequency systems; magnetic dipoles; measurement height; object reconstruction; receivers; three-dimensional buried targets; transmitters; Antenna measurements; Buried object detection; Earth; Electromagnetic scattering; Fourier transforms; Geophysical measurements; Geophysics computing; Magnetic field measurement; Tomography; Transmitters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Antennas and Propagation Society International Symposium, 2000. IEEE
  • Conference_Location
    Salt Lake City, UT, USA
  • Print_ISBN
    0-7803-6369-8
  • Type

    conf

  • DOI
    10.1109/APS.2000.874588
  • Filename
    874588