• DocumentCode
    1154333
  • Title

    Spheroidal Mode Approach for the Characterization of Metallic Objects Using Electromagnetic Induction

  • Author

    Chen, Xudong ; O´Neill, Kevin ; Grzegorczyk, Tomasz M. ; Jin Au Kong

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore
  • Volume
    45
  • Issue
    3
  • fYear
    2007
  • fDate
    3/1/2007 12:00:00 AM
  • Firstpage
    697
  • Lastpage
    706
  • Abstract
    We propose a spheroidal mode approach to characterize the electromagnetic induction (EMI) response of buried objects, assumed to be much more conductive than their environment. Both the excitation and the response are formulated as the linear superpositions of basic spheroidal modes. The scattering coefficients characterize objects, regardless of their geometrical complexity and material inhomogeneity, due to the orthogonality of the spheroidal modes. The ill-conditioning encountered in retrieving the scattering coefficients is dealt with by mode truncation and Tikhonov regularization. The approach is tested for both simulated and measured data, and the retrieval results show encouragingly that only few excitation and response modes effectively represent the EMI response of the objects. The proposed approach is therefore promising in the detection and classification of buried objects
  • Keywords
    buried object detection; electromagnetic induction; ground penetrating radar; remote sensing by radar; EMI; Tikhonov regularization; UXO; buried objects; electromagnetic induction; metallic objects; mode truncation; orthogonality; scattering coefficients; spheroidal mode approach; subsurface sensing; unexploded ordnance; Buried object detection; Conducting materials; Electromagnetic induction; Electromagnetic interference; Electromagnetic scattering; Gold; Inverse problems; Laboratories; Magnetic materials; Shape; Electromagnetic induction (EMI); inversion; spheroid; subsurface sensing; unexploded ordnance (UXO);
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2006.888856
  • Filename
    4106045