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    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/60980

    题名: Image Reconstruction for a Partially Immersed Imperfectly Conducting Cylinder by Genetic Algorithm
    作者: Chien, Wei;Sun, Chi-Hsien;Chiu, Chien-Ching
    贡献者: 淡江大學電機工程學系
    关键词: inverse problem;partially immersed;imperfectly conductor;steady-state genetic algorithm
    日期: 2009-12
    上传时间: 2011-10-15 01:11:25 (UTC+8)
    出版者: Hoboken: John Wiley & Sons, Inc.
    摘要: This article presents a computational approach to the imaging of a partially immersed imperfectly conducting cylinder. An imperfectly conducting cylinder of unknown shape and conductivity scatters the incident transverse magnetic (TM) wave in free space while the scattered field is recorded outside. Based on the boundary condition and the measured scattered field, a set of nonlinear integral equations, and the inverse scattering problem are reformulated into an optimization problem. We use genetic algorithm (GA) to reconstruct the shape and the conductivity of a partially immersed imperfectly conducting cylinder. The genetic algorithm is then used to find out the global extreme solution of the cost function. Numerical results demonstrated that, even when the initial guess is far away from the exact one, good reconstruction can be obtained. In such a case, the gradient-based methods often get trapped in a local extreme. In addition, the effect of random noise on the reconstruction is investigated.
    關聯: International Journal of Imaging Systems and Technology 19(4), pp.299-305
    DOI: 10.1002/ima.20206
    显示于类别:[電機工程學系暨研究所] 期刊論文





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