Approximate global convergence in imaging of land mines from backscattered data
Paper in proceedings, 2013

We present new model of an approximate globally convergent method in the most challenging case of the backscattered data. In this case data for the coefficient inverse problem are given only at the backscattered side of the medium which should be reconstructed. We demonstrate efficiency and robustness of the proposed technique on the numerical solution of the coefficient inverse problem in two dimensions with the time-dependent backscattered data. Goal of our tests is to reconstruct dielectrics in land mines which is the special case of interest in military applications. Our tests show that refractive indices and locations of dielectric abnormalities are accurately imaged.


Larisa Beilina

Chalmers, Mathematical Sciences, Mathematics

University of Gothenburg

Michael V. Klibanov

The University of North Carolina at Charlotte

Applied Inverse Problems, Springer Proceedings in Mathematics & Statistics (Select Contributions from the First Annual Workshop on Inverse Problems, Gothenburg, Sweden, 2-3 June 2011)

2194-1017 (eISSN)

Vol. 48 15-36

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