• DocumentCode
    1499670
  • Title

    Subsurface discrimination using electromagnetic induction sensors

  • Author

    Bell, Thomas H. ; Barrow, Bruce J. ; Miller, Jonathan T.

  • Author_Institution
    AETC Inc., Arlington, VA, USA
  • Volume
    39
  • Issue
    6
  • fYear
    2001
  • fDate
    6/1/2001 12:00:00 AM
  • Firstpage
    1286
  • Lastpage
    1293
  • Abstract
    This paper reviews the problem of subsurface discrimination using electromagnetic induction (EMI) sensors. Typically, discrimination is based on differences in the multiaxis magnetic polarizability between different objects. They review work on frequency and time domain systems, and their interrelationship. They present the results of comprehensive measurements of the multiaxis EMI response of a variety of inert ordnance items, ordnance fragments, and scrap metal pieces recovered from firing ranges. The extent to which the distributions of the eigenvalues of magnetic polarizability for the different classes of objects do not overlap establishes an upper bound on discrimination. For various reasons, the eigenvalues cannot always be accurately determined using data collected above a buried target. This tends to increase the overlap of the distributions, and hence degrade discrimination performance
  • Keywords
    buried object detection; electromagnetic induction; geophysical techniques; military systems; reviews; terrain mapping; terrestrial electricity; EM induction; buried object detection; electromagnetic induction; firing range; geoelectric; geophysical measurement technique; land surface; landmine; magnetic polarizability; military system; mine detection; multiaxis magnetic polarizability; scrap metal piece; subsurface discrimination; terrain mapping; terrestrial electricity; unexploded ordnance; Coils; Conducting materials; Eddy currents; Eigenvalues and eigenfunctions; Electromagnetic induction; Electromagnetic interference; Electromagnetic measurements; Electromagnetic wave polarization; Magnetic domains; Magnetic sensors;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/36.927451
  • Filename
    927451