A Bayesian approach to microwave imaging in a 3-D configuration

Abstract : In this paper we propose a probabilistic approach to an electromagnetic inverse scattering problem. The objective is to characterize an unknown object from measurements of the scattered fields at different frequencies and illuminations. This inverse problem is known to be non-linear and ill-posed. It needs to be regularized by introducing prior information. The particular prior information we account for is that the object is composed of a finite number of different materials distributed in compact regions. The Bayesian estimation approach with particular Gauss-Markov-Potts prior, which has been developped and successfully implemented to 2D-TM [1] and 2D-TE [2] configurations, is applied to the inversion of experimental data collected at the Fresnel Institute (Marseille) in a 3-D configuration
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Contributor : Hacheme Ayasso <>
Submitted on : Wednesday, January 6, 2010 - 3:01:22 PM
Last modification on : Thursday, April 5, 2018 - 12:30:04 PM


  • HAL Id : hal-00444385, version 1



Hacheme Ayasso, Bernard Duchêne, Ali Mohammad-Djafari. A Bayesian approach to microwave imaging in a 3-D configuration. The 10th Workshop on Optimization and Inverse Problems in Electromagnetism, Sep 2008, Ilmenau, Germany. pp.180. ⟨hal-00444385⟩



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