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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/50725

    Title: Image Reconstruction of Buried Multiple Conductors by Genetic Algorithms
    Authors: Huang, Chung-hsin;Lu, Hung-cheng;丘建青;Chiu, Chien-ching;Wysocki, Tadeusz A.;Wysocki, Beata J.
    Contributors: 淡江大學電機工程學系
    Keywords: inverse scattering;multiple conducting cylinders;half space;steady state genetic algorithms
    Date: 2008-10
    Issue Date: 2010-08-10 15:27:56 (UTC+8)
    Publisher: Wiley-Blackwell
    Abstract: This paper presents an inverse scattering problem for recovering the shapes of multiple conducting cylinders with the immersed targets in a half-space by genetic algorithm. Two separate perfectly conducting cylinders of unknown shapes are buried in one half-space and illuminated by transverse magnetic (TM) plane wave from the other half-space. Based on the boundary condition and the measured scattered field, a set of nonlinear integral equations are derived, and the electromagnetic imaging problem is reformulated into an optimization problem. The improved steady state genetic algorithm is used to find out the global extreme solution. Numerical results are given to demonstrate the performance of the inverse algorithm. Good reconstruction can be obtained even when the initial guesses are far different from the exact shapes, and then the multiple scattered fields between two conductors are serious. In addition, the effect of Gaussian noise on the reconstruction is investigated. We can find that the effect of noise is negligible for the normalized standard deviations below 0.01.
    Relation: International Journal of Imaging Systems and Technology 18(4), pp.276-281
    DOI: 10.1002/ima.20158
    Appears in Collections:[電機工程學系暨研究所] 期刊論文

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