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Application of the genetic algorithm for microwave imaging of a layered dielectric object via the regular shape expansion technique
Author(s) -
Li ChingLieh,
Cheng YuYi
Publication year - 1999
Publication title -
international journal of imaging systems and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.359
H-Index - 47
eISSN - 1098-1098
pISSN - 0899-9457
DOI - 10.1002/(sici)1098-1098(1999)10:4<347::aid-ima6>3.0.co;2-5
Subject(s) - microwave imaging , genetic algorithm , inverse problem , algorithm , dielectric , computer science , permittivity , object (grammar) , inverse , noise (video) , microwave , image (mathematics) , optics , mathematical optimization , mathematics , physics , computer vision , artificial intelligence , geometry , mathematical analysis , telecommunications , optoelectronics
A novel method combining the genetic algorithm (GA) and regular shape expansion technique is reported for electromagnetic imaging of a multilayer dielectric object of arbitrary shape. By measuring the scattered field, the shape, location, size, and permittivity of each layer of the object are retrieved quite successfully. The forward problem is solved based on the equivalent source current and the method of moments (MoM), while the inverse problem is reformulated as an optimization problem. The optimization problem is solved by the proposed method. Numerical simulation shows that good image reconstruction can be obtained for various multilayer dielectric objects as long as the noise level is ≤−20 dB. © 1999 John Wiley & Sons, Inc. Int J Imaging Syst Technol 10, 347–354, 1999