Reconstruction algorithms for electromagnetic imaging
作者： M. Pastorino , S. Caorsi , A. Massa , A. Randazzo
关键词:
摘要: Two algorithms for image reconstruction in electromagnetic imaging are proposed. The first approach concerns the application of a hybrid version genetic algorithm to tomographic dielectric configurations. In second approach, buried inhomogeneities schematized as multilayer infinite cylinders with elliptic cross sections. An efficient recursive analytical procedure is used forward scattering computation. A cost function constructed which field expressed series solution Mathieu functions. Starting by input scattered data, iterative minimization functional performed new optimization method called memetic algorithm.
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