• DocumentCode
    826633
  • Title

    Inversion of Phaseless Total Field Data Using a Two-Step Strategy Based on the Iterative Multiscaling Approach

  • Author

    Franceschini, Gabriele ; Donelli, Massimo ; Azaro, Renzo ; Massa, Andrea

  • Author_Institution
    Dept. of Inf. & Commun. Technol., Trento Univ.
  • Volume
    44
  • Issue
    12
  • fYear
    2006
  • Firstpage
    3527
  • Lastpage
    3539
  • Abstract
    In this paper, a new approach for the quantitative electromagnetic imaging of unknown scatterers located in free space from amplitude-only measurements of the total field is proposed and discussed. The reconstruction procedure splits the problem into two steps. The method is based on the use of an inverse source algorithm to first complete the scattering data by estimating the distribution of the radiated field in the investigation domain. The object\´s function profile is then retrieved from the phaseless data via an iterative multiresolution procedure integrated with an effective minimization technique based on the particle swarm algorithm. Numerical examples are provided to assess the effectiveness of the whole two-step strategy in the presence of synthetic noise-corrupted data as well as in dealing with experimental data sets. Comparisons with full-data and "bare" approaches are reported as well
  • Keywords
    geophysical techniques; image reconstruction; minimisation; particle swarm optimisation; inverse source algorithm; iterative multiresolution procedure; iterative multiscaling approach; minimization technique; particle swarm algorithm; quantitative electromagnetic imaging; Electromagnetic fields; Electromagnetic measurements; Electromagnetic scattering; Extraterrestrial measurements; Image reconstruction; Information retrieval; Iterative algorithms; Iterative methods; Minimization methods; Particle scattering; Electromagnetic imaging; integrated multiscaling approach; inverse scattering; particle swarm optimizer (PSO); phaseless data (PD);
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2006.881753
  • Filename
    4014315