Share Email Print

Proceedings Paper

Data diversity for UXO discrimination in realistic settings with a handheld EMI sensor
Author(s): Kevin O'Neill; I. J. Won; Alex Oren; Chi-Chih Chen; Hyoun-Sun Youn; Xudong Chen; Keli Sun
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Electromagnetic induction sensing (EMI), between ~ 10's of Hz and 100's of kHz, may show the strongest promise for discrimination of subsurface, shallow metallic objects such as unexploded ordnance (UXO). While EMI signals penetrate the soil readily, resolution is low and responses are sometimes ambiguous. For crucial discrimination progress, maximum data diversity is desirable in terms of look angles, frequency spectrum, and full vector scattered field data. Newly developed instrumentation now offers the possibility of full vector UWB EMI data with flexible look angle and sensor distance/sweep, defined by precise laser positioning. Particulars of the equipment and resulting data are displayed. An indication is given of potential advantages for reducing the chronic ill-conditioning of inversion calculations with EMI data, when one takes advantage of the data diversity made possible by the instrumental advances. Some EMI measurement issues cannot be solved by EMI data diversity, as when small surface clutter above a much larger UXO effectively blinds an EMI sensor. EMI surveying must be supplemented by or sometimes replaced by ground penetrating radar (GPR) approaches in such instances.

Paper Details

Date Published: 21 September 2004
PDF: 10 pages
Proc. SPIE 5415, Detection and Remediation Technologies for Mines and Minelike Targets IX, (21 September 2004); doi: 10.1117/12.542183
Show Author Affiliations
Kevin O'Neill, U.S. Army ERDC Cold Regions Research and Engineering Lab. (United States)
I. J. Won, Geophex, Ltd. (United States)
Alex Oren, Geophex, Ltd. (United States)
Chi-Chih Chen, The Ohio State Univ. (United States)
Hyoun-Sun Youn, The Ohio State Univ. (United States)
Xudong Chen, Massachusetts Institute of Technology (United States)
Keli Sun, Dartmouth College (United States)

Published in SPIE Proceedings Vol. 5415:
Detection and Remediation Technologies for Mines and Minelike Targets IX
Russell S. Harmon; J. Thomas Broach; John H. Holloway Jr., Editor(s)

© SPIE. Terms of Use
Back to Top