Data diversity for UXO discrimination in realistic settings with a handheld EMI sensor

Kevin O'Neill; I. J. Won; Alex Oren; Chi-Chih Chen; Hyoun-Sun Youn; Xudong Chen; Keli Sun

doi:10.1117/12.542183

21 September 2004 Data diversity for UXO discrimination in realistic settings with a handheld EMI sensor

Kevin O'Neill, I. J. Won, Alex Oren, Chi-Chih Chen, Hyoun-Sun Youn, Xudong Chen, Keli Sun

Proceedings Volume 5415, Detection and Remediation Technologies for Mines and Minelike Targets IX; (2004) https://doi.org/10.1117/12.542183
Event: Defense and Security, 2004, Orlando, Florida, United States

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.

Citation Download Citation

Kevin O'Neill, I. J. Won, Alex Oren, Chi-Chih Chen, Hyoun-Sun Youn, Xudong Chen, and Keli Sun "Data diversity for UXO discrimination in realistic settings with a handheld EMI sensor", Proc. SPIE 5415, Detection and Remediation Technologies for Mines and Minelike Targets IX, (21 September 2004); https://doi.org/10.1117/12.542183

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