Sampling methods for low-frequency electromagnetic imaging


Autoria(s): Gebauer, Bastian; Hanke-Bourgeois, Martin; Schneider, Christoph
Data(s)

2008

Resumo

For the detection of hidden objects by low-frequency electromagnetic imaging the Linear Sampling Method works remarkably well despite the fact that the rigorous mathematical justification is still incomplete. In this work, we give an explanation for this good performance by showing that in the low-frequency limit the measurement operator fulfills the assumptions for the fully justified variant of the Linear Sampling Method, the so-called Factorization Method. We also show how the method has to be modified in the physically relevant case of electromagnetic imaging with divergence-free currents. We present numerical results to illustrate our findings, and to show that similar performance can be expected for the case of conducting objects and layered backgrounds.

Formato

application/pdf

Identificador

urn:nbn:de:hebis:77-17930

http://ubm.opus.hbz-nrw.de/volltexte/2008/1793/

Idioma(s)

eng

Publicador

08: Physik, Mathematik und Informatik. 08: Physik, Mathematik und Informatik

Direitos

http://ubm.opus.hbz-nrw.de/doku/urheberrecht.php

Fonte

Inverse problems. Vol. 24 (2008), 015007 (18pp)

Palavras-Chave #Low frequency electromagnetics, inverse scattering, factorization method, linear sampling method #Mathematics
Tipo

Msc