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**Harvard**

Thành, N., Beilina, L., Klibanov, M. och Fiddy, M. (2015) *Imaging of buried objects from experimental backscattering time dependent measurements using a globally convergent inverse algorithm*. (Preprint - Department of Mathematical Sciences, Chalmers University of Technology and Göteborg University, nr: 2014:15).

** BibTeX **

@article{

Thành2015,

author={Thành, Nguyen Trung and Beilina, Larisa and Klibanov, Michael V. and Fiddy, Michael A.},

title={Imaging of buried objects from experimental backscattering time dependent measurements using a globally convergent inverse algorithm},

journal={SIAM Journal of Imaging Sciences},

issn={1936-4954},

volume={8},

issue={1},

pages={757-786},

abstract={We consider the problem of imaging of objects buried under the ground using experimental back-scattering time-dependent measurements generated by a single point source or one incident plane wave. In particular, we estimate dielectric constants of these objects using the globally convergent inverse algorithm of Beilina and Klibanov. Our algorithm is tested on experimental data collected using a microwave scattering facility at the University of North Carolina at Charlotte. There are two main challenges in working with this type of experimental data: (i) there is a huge misfit between these data and computationally simulated data, and (ii) the signals scattered from the targets may overlap with and be dominated by the reflection from the ground's surface. To overcome these two challenges, we propose new data preprocessing steps to make the experimental data look similar to the simulated data, as well as to remove the reflection from the ground's surface. Results of a total of 25 data sets of both nonblind and blind targets indicate good accuracy.},

year={2015},

series={Preprint - Department of Mathematical Sciences, Chalmers University of Technology and Göteborg University, no: 2014:15},

keywords={buried object detection; coefficient identification problems; wave equation; globally convergent algorithm; experimental data; data preprocessing},

note={30 s.},

}

** RefWorks **

RT Journal Article

SR Electronic

ID 201567

A1 Thành, Nguyen Trung

A1 Beilina, Larisa

A1 Klibanov, Michael V.

A1 Fiddy, Michael A.

T1 Imaging of buried objects from experimental backscattering time dependent measurements using a globally convergent inverse algorithm

YR 2015

JF SIAM Journal of Imaging Sciences

SN 1936-4954

VO 8

IS 1

SP 757

OP 786

AB We consider the problem of imaging of objects buried under the ground using experimental back-scattering time-dependent measurements generated by a single point source or one incident plane wave. In particular, we estimate dielectric constants of these objects using the globally convergent inverse algorithm of Beilina and Klibanov. Our algorithm is tested on experimental data collected using a microwave scattering facility at the University of North Carolina at Charlotte. There are two main challenges in working with this type of experimental data: (i) there is a huge misfit between these data and computationally simulated data, and (ii) the signals scattered from the targets may overlap with and be dominated by the reflection from the ground's surface. To overcome these two challenges, we propose new data preprocessing steps to make the experimental data look similar to the simulated data, as well as to remove the reflection from the ground's surface. Results of a total of 25 data sets of both nonblind and blind targets indicate good accuracy.

T3 Preprint - Department of Mathematical Sciences, Chalmers University of Technology and Göteborg University, no: 2014:15

LA eng

DO 10.1137/140972469

LK http://dx.doi.org/10.1137/140972469

LK http://publications.lib.chalmers.se/records/fulltext/201567/local_201567.pdf

OL 30