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Proceedings Paper

Void and landmine detection using the HFEMI sensor
Author(s): Benjamin E. Barrowes; Fridon Shubitidze; John Sigman; Jay Bennett; Janet Simms; Don Yule; Kevin O'Neill
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Paper Abstract

Buried threats such as Improvised Explosive Devices (IEDs) and UneXploded Ordnance (UXO) can be composed of different materials including metal, carbon fiber, carbon rods, and nonconducting material such as wood, rubber, fuel oil, and plastic. Electromagnetic induction (EMI) instruments have been traditionally used to detect high electric conductivity discrete targets such as metal UXO. The frequencies used for this EMI regime have typically been less than 100 kHz. To detect intermediate conductivity objects like carbon fiber, higher frequencies up to the low megahertz range are required in order to capture characteristic relaxation responses. Nonconducting voids in an otherwise conducting background medium like soil channel currents around the void. These channeling currents exhibit relaxation responses similar to conducting targets but with a much higher frequency response. Nonconducting plastic landmines can be considered a void plus small metallic parts such as the firing pin, and a characteristic relaxation response due to both the void and the metal parts can be obtained which can reduce false alarms from EMI instruments that detect only the metal. To predict EMI phenomena at frequencies up to 15MHz, we modeled the response of conducting and nonconducting targets using the Method of Auxiliary Sources. Our high-frequency electromagnetic induction (HFEMI) instrument is able to acquire EMI data at frequencies up to that same high limit. Modeled and measured characteristic relaxation signatures compare favorably and indicate new sensing possibilities in a variety of scenarios including the detection of voids and landmines.

Paper Details

Date Published: 3 May 2017
PDF: 8 pages
Proc. SPIE 10182, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXII, 1018210 (3 May 2017); doi: 10.1117/12.2262619
Show Author Affiliations
Benjamin E. Barrowes, U.S. Army Engineer Research and Development Ctr. (United States)
Fridon Shubitidze, Dartmouth College (United States)
John Sigman, Dartmouth College (United States)
Jay Bennett, U.S. Army Engineer Research and Development Ctr. (United States)
Janet Simms, U.S. Army Engineer Research and Development Ctr. (United States)
Don Yule, U.S. Army Engineer Research and Development Ctr. (United States)
Kevin O'Neill, Dartmouth College (United States)


Published in SPIE Proceedings Vol. 10182:
Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXII
Steven S. Bishop; Jason C. Isaacs, Editor(s)

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