• DocumentCode
    1019427
  • Title

    Two-Dimensional Contrast Source Inversion Method With Phaseless Data: TM Case

  • Author

    Li, Lianlin ; Zheng, Hu ; Li, Fang

  • Author_Institution
    Inst. of Electron., Chinese Acad. of Sci., Beijing
  • Volume
    47
  • Issue
    6
  • fYear
    2009
  • fDate
    6/1/2009 12:00:00 AM
  • Firstpage
    1719
  • Lastpage
    1736
  • Abstract
    In this paper, two new approaches are presented for the solution of electromagnetic inverse scattering problems when amplitude-only data are available. The proposed techniques are based on a customized version, which are the so-called contrast source inversion (CSI) and multiplicative regularized CSI (MRCSI) methods. In the proposed approaches, denoted as the phaseless-data (PD)-CSI and the PD-MRCSI, only the term of the cost functional concerning the mismatch between the measured and estimated field data (i.e., the data equation) has been properly redefined. Moreover, the back-projection algorithm has been modified to provide an initial solution ensuring the rapid convergence of the optimization procedures and avoid the reconstruction of false solutions. A set of representative results concerning numerical as well as experimental tests is reported to show the accuracy of the proposed amplitude-only reconstruction approaches.
  • Keywords
    electromagnetic wave scattering; geophysical signal processing; remote sensing; signal reconstruction; 2D contrast source inversion method; amplitude-only reconstruction; back-projection algorithm; electromagnetic inverse scattering problem; multiplicative regularized CSI; phaseless-data CSI; phaseless-data MRCSI; Algorithm; back-projection (BP); electromagnetic (EM) inverse scattering; full-data (FD) contrast source inversion (CSI); full-data (FD) multiplicative regularized contrast source inversion (MRCSI); phaseless-data CSI (PD-CSI); phaseless-data MRCSI (PD-MRCSI);
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2008.2006360
  • Filename
    4695996