Rapid position estimation using electromagnetic induction data from the MetalMapper in dynamic mode

Tomasz M. Grzegorczyk; Benjamin Barrowes; David George; Fridon Shubitidze; J. P. Fernández; Kevin O'Neill

doi:10.1117/12.884059

23 May 2011 Rapid position estimation using electromagnetic induction data from the MetalMapper in dynamic mode

Tomasz M. Grzegorczyk, Benjamin Barrowes, David George, Fridon Shubitidze, J. P. Fernández, Kevin O'Neill

Proceedings Volume 8017, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XVI; 801705 (2011) https://doi.org/10.1117/12.884059
Event: SPIE Defense, Security, and Sensing, 2011, Orlando, Florida, United States

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.

Citation Download Citation

Tomasz M. Grzegorczyk, Benjamin Barrowes, David George, Fridon Shubitidze, J. P. Fernández, and Kevin O'Neill "Rapid position estimation using electromagnetic induction data from the MetalMapper in dynamic mode", Proc. SPIE 8017, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XVI, 801705 (23 May 2011); https://doi.org/10.1117/12.884059

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