• DocumentCode
    966392
  • Title

    Three-dimensional reconstruction of objects buried in layered media using Born and distorted Born iterative methods

  • Author

    Li, Fenghua ; Liu, Qing Huo ; Song, Lin-Ping

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Duke Univ., Durham, NC, USA
  • Volume
    1
  • Issue
    2
  • fYear
    2004
  • fDate
    4/1/2004 12:00:00 AM
  • Firstpage
    107
  • Lastpage
    111
  • Abstract
    We develop electromagnetic inverse scattering methods to reconstruct three-dimensional (3-D) objects buried in layered media. The nonlinear inverse problem is solved iteratively via the conjugate-gradient approach; within each iteration, the problem is linearized by Born and distorted Born approximations. The forward solution for layered media is provided by the stabilized biconjugate-gradient fast Fourier transform method. The inversion results from the Born and distorted Born iterative methods are presented, and the effects of the aperture size and noise on the inversion results are also investigated. Numerical results show that these methods are capable of reconstructing an arbitrary 3-D inhomogeneous object buried in a multilayered medium with high resolution.
  • Keywords
    electromagnetic wave scattering; fast Fourier transforms; image reconstruction; inhomogeneous media; inverse problems; iterative methods; 3-D image reconstruction; 3-D inhomogeneous object; FFT; biconjugate-gradient fast Fourier transform method; buried objects; distorted Born approximation; distorted Born iterative methods; electromagnetic inverse scattering; multilayered medium; nonlinear inverse problem; three-dimensional reconstruction; Apertures; Buried object detection; Electromagnetic scattering; Fast Fourier transforms; Image reconstruction; Inverse problems; Iterative methods; Nonhomogeneous media; Nonlinear distortion; Predistortion;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1545-598X
  • Type

    jour

  • DOI
    10.1109/LGRS.2004.826562
  • Filename
    1291392