淡江大學機構典藏:Item 987654321/95963
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    Title: 利用遺傳演算法則重建任意形狀介質住體的影像
    Other Titles: Application of Genetic Algorithm to Reconstruct the Image of a Dielectric Object of Arbitrary Shape
    Authors: 李慶烈;鄭有益
    Contributors: 淡江大學電機工程學系
    Keywords: 遺傳演算法;影像重建;兩階段法;微波影像;介電物體;形狀突變法;Genetic Algorithm;Image Reconstruction;Two-Phase Technique;Electromagnetic Image;Dielectric Object;Shape Mutation Scheme
    Date: 1998-12
    Issue Date: 2014-02-13 11:27:42 (UTC+8)
    Abstract: 本論文使用遺傳演算法配合兩階段法來重建一均勻或多層介電物體的微波影像。比較電場的量測值和每一物體的電場計算值, 可以成功地逆推出介電物體的位置、大小及形狀。本方法比先前單獨使用的形狀突變法更快收斂, 且只要信號雜訊比小於-20分貝, 重建效果即相當良好。
    A computational method combining the genetic algorithm(GA) and a two-phase technique is reported for electromagnetic imaging of a homogeneous and/or multicylinder dielectric object of arbitrary shape. By measuring the scattered field, the shape, location, size and permittivity of the object are retrieved quite successfully. It is found that the proposed two-phase technique converges faster than a previously reported method using shape mutation scheme does. Numerical simulation shows that good reconstruction can be obtained for a homogeneous and/or multiple-cylinder object as long as the noise level is .ltoreq.-20dB.
    Relation: 一九九八年全國電信研討會論文集=Proceedings of 1998 National Symposium on Telecommunications,頁459-464
    Appears in Collections:[Graduate Institute & Department of Electrical Engineering] Proceeding

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