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Image Reconstruction of a Buried Conductor by the Genetic Algorithm
ChienChing CHIU ChingLieh LI Wei CHAN
Publication
IEICE TRANSACTIONS on Electronics
Vol.E84C
No.12
pp.19461951 Publication Date: 2001/12/01
Online ISSN:
DOI:
Print ISSN: 09168516 Type of Manuscript: Special Section PAPER (Special Issue on New Technologies in Signal Processing for Electromagneticwave Sensing and Imaging) Category: Keyword: genetic algorithm, buried conductor, image reconstruction, inverse scattering,
Full Text: PDF>>
Summary:
In this paper, genetic algorithms is employed to determine the shape of a conducting cylinder buried in a halfspace. Assume that a conducting cylinder of unknown shape is buried in one halfspace and scatters the field incident from another halfspace where the scattered filed is measured. Based on the boundary condition and the measured scattered field, a set of nonlinear integral equations is derived and the imaging problem is reformulated into an optimization problem. The genetic algorithm is then employed to find out the nearly global extreme solution of the object function such that the shape of the conducting scatterer can be suitably reconstructed. In our study, even when the initial guess is far away from the exact one, the genetic algorithm can avoid the local extremes and converge to a reasonably good solution. In such cases, the gradientbased methods often get stuck in local extremes. Numerical results are presented and good reconstruction is obtained both with and without the additive Gaussian noise.

