Paper
4 May 2009 Detection of multiple subsurface metallic targets using EMI data
Author Affiliations +
Abstract
The detection of unexploded ordnance (UXO) in the presence of a discrete and large clutter is here investigated in the electromagnetic induction regime using a Newton method with no a priori information on the position or the strength of each object. The problem is formulated as a cost-function minimization on the difference in magnetic fields between the measured or synthetic data and their corresponding predictions. Both a bistatic and a monostatic operating modes are considered and applied to various geometrical configurations such as targets in close proximity or on top of each other. Measurement data from the TEMTADS sensor in a two-object configuration are also analyzed. The results illustrate the accuracy of the method in many situations, but also point out at some current limitations for which further improvements are suggested.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tomasz M. Grzegorczyk, Benjamin Barrowes, Fridon Shubitidze, J. P. Fernández, Irma Shamatava, and Kevin ONeill "Detection of multiple subsurface metallic targets using EMI data", Proc. SPIE 7303, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XIV, 73030T (4 May 2009); https://doi.org/10.1117/12.819291
Lens.org Logo
CITATIONS
Cited by 5 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Sensors

Magnetism

Transmitters

Electromagnetic coupling

Detection and tracking algorithms

Target detection

Electromagnetism

Back to Top