• DocumentCode
    1203303
  • Title

    Effective exploitation of the a priori information through a microwave imaging procedure based on the SMW for NDE/NDT applications

  • Author

    Benedetti, Manuel ; Donelli, Massimo ; Franceschini, Gabriele ; Pastorino, Matteo ; Massa, Andrea

  • Author_Institution
    Dept. of Inf. & Commun. Technol., Univ. of Trento, Italy
  • Volume
    43
  • Issue
    11
  • fYear
    2005
  • Firstpage
    2584
  • Lastpage
    2592
  • Abstract
    This paper presents an innovative microwave technique, which is suitable for the detection of defects in nondestructive-test and nondestructive-evaluation (NDT/NDE) applications where a lot of a priori information is available. The proposed approach is based on the equations of the inverse scattering problem, which are solved by means of a minimization procedure based on a genetic algorithm. To reduce the number of problem unknowns, the available a priori information is efficiently exploited by introducing an updating procedure for the electric field computation based on the Sherman-Morrison-Woodbury formula. The results of a representative set of numerical experiments as well as comparisons with state-of-the-art methods are reported. They confirm the effectiveness, feasibility, and robustness of the proposed approach, which shows some interesting features by a computational point of view as well.
  • Keywords
    genetic algorithms; inverse problems; microwave measurement; minimisation; nondestructive testing; remote sensing; NDE/NDT applications; Sherman-Morrison-Woodbury formula; a priori information; genetic algorithm; inverse scattering problem; microwave imaging; minimization; nondestructive evaluation; nondestructive testing; Computational complexity; Dielectrics; Equations; Genetic algorithms; Inverse problems; Microwave imaging; Microwave theory and techniques; Minimization methods; Nondestructive testing; Robustness; Genetic algorithms (GAs); Sherman–Morrison–Woodbury (SMW) formula; microwave imaging; nondestructive testing and evaluation;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2005.856630
  • Filename
    1522619