Image Reconstruction of Buried Multiple Conductors by Genetic Algorithms
學年 97
學期 1
出版(發表)日期 2008-10-01
作品名稱 Image Reconstruction of Buried Multiple Conductors by Genetic Algorithms
作品名稱(其他語言)
著者 Huang, Chung-hsin; Lu, Hung-cheng; 丘建青; Chiu, Chien-ching; Wysocki, Tadeusz A.; Wysocki, Beata J.
單位 淡江大學電機工程學系
出版者 Wiley-Blackwell
著錄名稱、卷期、頁數 International Journal of Imaging Systems and Technology 18(4), pp.276-281
摘要 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.
關鍵字 inverse scattering; multiple conducting cylinders; half space; steady state genetic algorithms
語言 en
ISSN 0899-9457
期刊性質 國外
收錄於 SCI EI
產學合作
通訊作者
審稿制度
國別
公開徵稿
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