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Proceedings Paper

Rapid position estimation using electromagnetic induction data from the MetalMapper in dynamic mode
Author(s): Tomasz M. Grzegorczyk; Benjamin Barrowes; David George; Fridon Shubitidze; J. P. Fernández; Kevin O'Neill
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Paper Abstract

Dynamic data from the MetalMapper electromagnetic induction sensor are analyzed using a fast inversion algorithm in order to obtain position information of buried anomalies. After validating the algorithm by comparing static and dynamic inversions from reference measurements at Camp San Luis Obispo, the algorithm is applied to realistic dynamic measurements from Camp Butner. A sequence of 939 data points are inverted as the MetalMapper travels along a calibration lane, flagging a few positions as corresponding to buried anomalies. An a posteriori comparison with field plots reveals a good agreement between the flagged positions and the field peak values, suggesting the efficacy of the algorithm at detecting a large variety of anomalies from dynamic data.

Paper Details

Date Published: 23 May 2011
PDF: 9 pages
Proc. SPIE 8017, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XVI, 801705 (23 May 2011); doi: 10.1117/12.884059
Show Author Affiliations
Tomasz M. Grzegorczyk, Delpsi, LLC (United States)
Benjamin Barrowes, U.S. Army Cold Regions Research and Engineering Lab. (United States)
David George, G&G Sciences Inc. (United States)
Fridon Shubitidze, Thayer School of Engineering, Dartmouth College (United States)
J. P. Fernández, Consultant (United States)
Kevin O'Neill, U.S. Army Cold Regions Research and Engineering Lab. (United States)


Published in SPIE Proceedings Vol. 8017:
Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XVI
Russell S. Harmon; John H. Holloway; J. Thomas Broach, Editor(s)

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