Sampling methods for low-frequency electromagnetic imaging

Bastian Gebauer, Martin Hanke, Christoph Schneider

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

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 fulfils 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.

Original languageEnglish
Article number015007
JournalInverse Problems
Volume24
Issue number1
DOIs
StatePublished - 1 Feb 2008
Externally publishedYes

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