• DocumentCode
    46209
  • Title

    Quantitative Image Recovery From Measured Blind Backscattered Data Using a Globally Convergent Inverse Method

  • Author

    Kuzhuget, Andrey V. ; Beilina, Larisa ; Klibanov, Michael V. ; Sullivan, Andrew ; Nguyen, L. ; Fiddy, Michael A.

  • Author_Institution
    Morgan Stanley, New York, NY, USA
  • Volume
    51
  • Issue
    5
  • fYear
    2013
  • fDate
    May-13
  • Firstpage
    2937
  • Lastpage
    2948
  • Abstract
    The goal of this paper is to introduce the application of a globally convergent inverse scattering algorithm to estimate dielectric constants of targets using time-resolved backscattering data collected by a U.S. Army Research Laboratory forward-looking radar. The processing of the data was conducted blind, i.e., without any prior knowledge of the targets. The problem is solved by formulating the scattering problem as a coefficient inverse problem for a hyperbolic partial differential equation. The main new feature of this algorithm is its rigorously established global convergence property. Calculated values of dielectric constants are in a good agreement with material properties, which were revealed a posteriori.
  • Keywords
    Backscatter; Convergence; Dielectric measurements; Inverse problems; Mathematical model; Scattering; Experimental data; inverse scattering; quantitative imaging; remote sensing;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2012.2211885
  • Filename
    6310047