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Linearized inversion methods for three-dimensional electromagnetic imaging in the multiple scattering regime
Authors:Kevin Unger  Ting Zhang  Patrick C Chaumet  Kamal Belkebir
Affiliation:1. Aix Marseille Université, CNRS, Centrale Marseille, Institut Fresnel, UMR 7249, Marseille, France.;2. Key Laboratory of Ocean Observation-Imaging Testbed of Zhejiang Province, College of Information Science and Electronic Engineering (ISEE), Zhejiang University, Hangzhou, China.
Abstract:In optical or microwave computational tomography, the sample permittivity is reconstructed numerically from the measurements of its scattered field for various illuminations. When the light sample interaction involves multiple scattering, the relationship between the scattered field and the permittivity is non-linear and a direct reconstruction is not possible. Using a simple physical approach, adapted to the three-dimensional vectorial electromagnetic framework, we derive an iterative inversion technique, based on the linearization of the scattering operator, for imaging (possibly anisotropic) targets in the multiple scattering regime. We investigate the performances of different approximations of this operator accounting for more or less multiple scattering. Our method is applied to the reconstruction of targets in the microwave domain using experimental data.
Keywords:Inverse problem  vectorial scattering
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