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Regularized bi-conjugate gradient algorithm for tomographic reconstruction of buried objects

Cédric Dourthe 1 Christian Pichot 2 Jean-Yves Dauvignac 2 Laure Blanc-Féraud 3 Michel Barlaud 4 
1 CAIMAN - Scientific computing, modeling and numerical analysis
CRISAM - Inria Sophia Antipolis - Méditerranée , ENPC - École des Ponts ParisTech, CNRS - Centre National de la Recherche Scientifique : UMR6621
3 MORPHEME - Morphologie et Images
CRISAM - Inria Sophia Antipolis - Méditerranée , IBV - Institut de Biologie Valrose : U1091, Laboratoire I3S - SIS - Signal, Images et Systèmes
Abstract : This paper deals with a quantitative inversion algorithm for reconstructing the permittivity and conductivity profiles of bounded inhomogeneous buried objects from measured multifrequency and multiincidence backscattered field data. An Edge-Preserving regularization scheme is applied leading to a significant enhancement in the profiles reconstructions. The applications concern civil engineering and geophysics as well as mine detection and localization. The performance of the reconstructions are illustrated with different synthetic data.
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Submitted on : Wednesday, April 23, 2014 - 9:14:35 AM
Last modification on : Thursday, August 4, 2022 - 5:06:06 PM


  • HAL Id : hal-00981903, version 1


Cédric Dourthe, Christian Pichot, Jean-Yves Dauvignac, Laure Blanc-Féraud, Michel Barlaud. Regularized bi-conjugate gradient algorithm for tomographic reconstruction of buried objects. IEICE Transactions on Electronics, Institute of Electronics, Information and Communication Engineers, 2000, E83-C (12), pp.1858-1863. ⟨hal-00981903⟩



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