• DocumentCode
    1746691
  • Title

    Frequency dependence on image reconstruction for a buried conductor

  • Author

    Chiu, Chien-Ching ; Chen, Wei-Ting

  • Author_Institution
    Dept. of Electr. Eng., Tamkang Univ., Tamsui, Taiwan
  • Volume
    1
  • fYear
    2001
  • fDate
    21-23 May 2001
  • Firstpage
    323
  • Abstract
    The frequency dependence of image reconstruction for a buried imperfectly conducting cylinder is investigated. A conducting cylinder of unknown shape and conductivity is buried in one half-space and scatters the incident wave from another half-space. By using the measured scattered field, the image problem is reformulated into an optimization problem and solved by the genetic algorithm. The frequency dependence of image reconstruction is investigated and numerical results show that the reconstruction is quite good in the resonant frequency range. On the contrary, if the frequency is too high or too low the reconstruction becomes bad. It is worth noting that the present work provides not only comparative information but quantitative information
  • Keywords
    Green´s function methods; buried object detection; conducting bodies; electromagnetic wave scattering; genetic algorithms; image reconstruction; inverse problems; EM inverse scattering; Green´s function; buried conductor; comparative information; frequency dependence; genetic algorithm; half-space; image reconstruction; imperfectly conducting cylinder; incident wave scattering; optimization problem; quantitative information; resonant frequency range; Conductors; Current density; Electromagnetic scattering; Engine cylinders; Equations; Frequency dependence; Genetic algorithms; Image reconstruction; Inverse problems; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation and Measurement Technology Conference, 2001. IMTC 2001. Proceedings of the 18th IEEE
  • Conference_Location
    Budapest
  • ISSN
    1091-5281
  • Print_ISBN
    0-7803-6646-8
  • Type

    conf

  • DOI
    10.1109/IMTC.2001.928833
  • Filename
    928833