• DocumentCode
    1487993
  • Title

    Multimonostatic Shape Reconstruction of Two-Dimensional Dielectric Cylinders by a Kirchhoff-Based Approach

  • Author

    Brancaccio, Adriana ; Leone, Giovanni

  • Author_Institution
    Dipt. di Ing. dell´´Inf., Seconda Univ. di Napoli, Aversa, Italy
  • Volume
    48
  • Issue
    8
  • fYear
    2010
  • Firstpage
    3152
  • Lastpage
    3161
  • Abstract
    The inverse problem of reconstructing the shape of dielectric cylinders by aspect-limited multimonostatic multifrequency electromagnetic scattering data is dealt with. The problem is formulated as a linear one by means of the physical-optics approximation distributional approach. The difference with respect to the case of perfectly electrical conducting scatterers is pointed out, since the penetrability of the scatterers is taken into account by considering the contribution of the “shadowed” side to the local reflection coefficient. The adopted model allows one to predict that both the “illuminated” and “shadowed” sides of the scatterer provide contribution to the reconstructed image but with a delocalization depending on the relative dielectric permittivity. The numerical results confirm this expectation and show the effectiveness of the approach.
  • Keywords
    electromagnetic wave scattering; geophysical image processing; geophysical techniques; image reconstruction; inverse problems; 2D dielectric cylinders; Kirchhoff-based approach; aspect-limited data; dielectric object shape reconstruction; electrical conducting scatterers; electromagnetic scattering inverse problem; image reconstruction; microwave imaging; multimonostatic multifrequency electromagnetic scattering data; multimonostatic shape reconstruction; physical-optics approximation distributional approach; reflection coefficient; relative dielectric permittivity; Aspect-limited data; dielectric objects shape reconstruction; electromagnetic scattering inverse problems; linear inversion; microwave imaging; physical optics (PO) approximation;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2010.2045387
  • Filename
    5462943