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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/38524


    Title: Image reconstruction of dielectric objects by genetic algorithm
    Authors: Lin, Chun-jen;Wu, Yi-da;Chiu, Chien-ching
    Contributors: 淡江大學電機工程學系
    Keywords: Image reconstruction;Genetic Algorithm;Dielectric object
    Date: 2003-05
    Issue Date: 2010-04-15 11:22:23 (UTC+8)
    Publisher: New York: Institute of Electrical and Electronics Engineers (IEEE)
    Abstract: In this paper, an efficient optimization algorithm for solving the inverse problem of a two-dimensional homogeneous dielectric object is investigated. A homogeneous dielectric cylinder of unknown permittivity scatters the incident wave in free space and the scattered fields are recorded. Based on the boundary condition and the incident field, a set of nonlinear surface integral equation is derived. The imaging problem is reformulated into optimization problem and the genetic algorithm is employed to reconstruct the shape and the dielectric constant of the object. Numerical results show that the permittivity of the cylinders can be successfully reconstructed even when the permittivity is fairly large. The effect of random noise on imaging reconstruction is also investigated.
    Relation: Electromagnetic Compatibility, 2003. EMC '03. 2003 IEEE International Symposium on (Volume:2 ), pp.768-771
    DOI: 10.1109/ICSMC2.2003.1429019
    Appears in Collections:[Graduate Institute & Department of Electrical Engineering] Proceeding

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