Approximate global convergence in imaging of land mines from backscattered data
Paper in proceeding, 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.

Author

Larisa Beilina

Chalmers, Mathematical Sciences, Mathematics

University of Gothenburg

Michael V. Klibanov

The University of North Carolina at Charlotte

Springer Proceedings in Mathematics and Statistics

21941009 (ISSN) 21941017 (eISSN)

Vol. 48 15-36
978-1-4614-7816-4 (ISBN)

Subject Categories

Mathematics

DOI

10.1007/978-1-4614-7816-4_2

ISBN

978-1-4614-7816-4

More information

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1/3/2024 9