Analysis of two linear sampling methods applied to electromagnetic imaging of buried objects

Fioralba Cakoni, M'Barek Fares, Houssem Haddar

Research output: Contribution to journalArticlepeer-review

62 Scopus citations

Abstract

We investigate two imaging methods to detect buried scatterers from electromagnetic measurements at a fixed frequency. The first one is the classical linear sampling method that requires the computation of Green's tensor for the background medium. This job can be numerically very costly for complex background geometries. The second one is an alternative approach based on the reciprocity gap functional that avoids the computation of Green's tensor but requires knowledge of both the electric and magnetic fields. Numerical examples are given showing the performance of both methods.

Original languageEnglish (US)
Pages (from-to)845-867
Number of pages23
JournalInverse Problems
Volume22
Issue number3
DOIs
StatePublished - Jun 1 2006

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Signal Processing
  • Mathematical Physics
  • Computer Science Applications
  • Applied Mathematics

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