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Proceedings Paper

Treatment of a permeable non-conducting medium with the EMI-BOR program
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Paper Abstract

Near field (~1 m) electromagnetic induction (EMI) sensing, from 10's of Hz up to 100's of kHz, has shown significant success in detecting subsurface metallic targets. However, the discrimination of buried unexploded ordinance (UXO) from innocuous objects still remains a challenging and very expensive problem. The problem is particularly complicated in many field surveys where the data are highly contaminated with noise and clutter. In EMI data the noise and clutter are generated by the sensor, surrounding media (magnetic soil), sensor operation (motion and rotation) etc. Understanding and taking into account noise associated with the ambient environment are particularly important for developing a new generation of geological electromagneticc induction sensors as well for identification and discrimination of UXO. To address these critical issues, this paper investigates EMI scattering from a highly permeable and conducting objects subject to the state of the art of sensors placed in an infinite permeable non-conducting medium. The numerical calculation is done via the method of auxiliary sources combined with thin skin depth approximation algorithm (MAS-MAS/TSA). Using the image theory, the formulation is extended for magnetic half spaces. First the accuracy of the proposed method is checked against available analytical data for a sphere. Then several numerical results are shown and analyzed to assess the permeable soils effect on object responses, including object-soil surface interation effects and surface roughness effects. Ultimately, a user friendly EMI body of revolution code is put forward that combines these two features. It is available in the public domain, for the solution of EMI problems with single and multi (heterogeneous) objects buried inside an infinite magnetic space or in magnetic half space, subject to state of the art of sensor excitation. The code produces results in both time and frequency domains.

Paper Details

Date Published: 10 June 2005
PDF: 9 pages
Proc. SPIE 5794, Detection and Remediation Technologies for Mines and Minelike Targets X, (10 June 2005); doi: 10.1117/12.603809
Show Author Affiliations
Irma Shamatava, Dartmouth College (United States)
K. O'Neill, Dartmouth College (United States)
USA ERDC Cold Regions Research and Engineering Lab. (United States)
Fridon Shubitidze, Dartmouth College (United States)
Keli Sun, Dartmouth College (United States)
Keith D. Paulsen, Dartmouth College (United States)


Published in SPIE Proceedings Vol. 5794:
Detection and Remediation Technologies for Mines and Minelike Targets X
Russell S. Harmon; J. Thomas Broach; John H. Holloway, Editor(s)

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