Globally convergent and adaptive finite element methods in imaging of buried objects from experimental backscattering radar measurements
Journal article, 2015

We consider a two-stage numerical procedure for imaging of objects buried in dry sand using time-dependent backscattering experimental radar measurements. These measurements are generated by a single point source of electric pulses and are collected using a microwave scattering facility which was built at the University of North Carolina at Charlotte. Our imaging problem is formulated as the inverse problem of the reconstruction of the spatially distributed dielectric constant, which is an unknown coefficient in Maxwell’s equations.

Refractive indices

Adaptive finite element method

Globally convergent algorithm

Inverse scattering

Author

Larisa Beilina

University of Gothenburg

Chalmers, Mathematical Sciences, Mathematics

Nguyen Trung Thanh

Iowa State University

M.V. Klibanov

The University of North Carolina at Charlotte

John Bondestam Malmberg

Chalmers, Mathematical Sciences, Mathematics

University of Gothenburg

Journal of Computational and Applied Mathematics

0377-0427 (ISSN)

Vol. 289 371-391

Subject Categories

Mathematics

DOI

10.1016/j.cam.2014.11.055

More information

Created

10/7/2017