• DocumentCode
    1349609
  • Title

    Physical Optics Imaging of 3-D PEC Objects: Vector and Multipolarized Approaches

  • Author

    Solimene, Raffaele ; Buonanno, Aniello ; Soldovieri, Francesco ; Pierri, Rocco

  • Author_Institution
    Dipt. di Ing. dell´´Inf., Seconda Univ. di Napoli, Aversa, Italy
  • Volume
    48
  • Issue
    4
  • fYear
    2010
  • fDate
    4/1/2010 12:00:00 AM
  • Firstpage
    1799
  • Lastpage
    1808
  • Abstract
    The problem of imaging 3-D perfect electric conducting objects from scattered field measurements is addressed. Plane waves at a fixed angle of incidence and varying frequency provide the illuminating radiation whereas the scattered field is collected in far-field zone. The physical optics approximation is adopted to simplify the scattering model and the scatterers´ shapes (i.e., their contour surfaces) are described as the support of ?? distributions. This leads to a linear integral relationship between the scattered field and the unknown distributions, the linear distributional model, which is inverted by employing its singular value decomposition. Emphasis is placed on the study of the dyadic operator to be inverted which links the vector unknown to the scattered field vector and on the role of the polarization diversity. In particular, three different approaches are presented and compared from the computational as well as the resolution point of view. The analysis is performed numerically by means of synthetic data generated by a finite-element-method-based forward solver.
  • Keywords
    finite element analysis; image reconstruction; image resolution; inverse problems; light scattering; physical optics; singular value decomposition; 3-D perfect electric conducting objects; finite-element-method-based forward solver; linear distributional model; linear integral relationship; multipolarized approach; physical optics approximation; physical optics imaging; polarization diversity; resolution; scattered field measurements; singular value decomposition; vector approach; Electromagnetic scattering inverse problems; linear inverse problems; physical optics (PO) approximation; strong scatterers;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2009.2035053
  • Filename
    5345841