Buried IED targets detection and identification using advanced HFEMI models

Fridon Shubitidze; Benjamin E. Barrowes; Guy Jutras

doi:10.1117/12.2588151

12 April 2021 Buried IED targets detection and identification using advanced HFEMI models

Fridon Shubitidze, Benjamin E. Barrowes, Guy Jutras

Proceedings Volume 11750, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXVI; 1175004 (2021) https://doi.org/10.1117/12.2588151
Event: SPIE Defense + Commercial Sensing, 2021, Online Only

Abstract

Buried improvised explosive devices (IEDs), due to their relative ease of construction, availability, and destructive capacity, remains the main and current (and likely future) asymmetric threat directed at US and coalition forces. The IEDs can be hidden anywhere: in vehicles, on animals, planted in roads or strapped to a person and can be deployed everywhere: in a combat environment or in the middle of a busy city. The adaptability of IEDs to almost any situation makes them difficult to detect, identify and neutralize using standard subsurface sensing technologies, such as low frequency electromagnetic induction (EMI, DC to 100kHz) and ground penetrating radar (GPR, operating above 50MHz). Much research over the past few years has been focused on exploring, developing, and building new systems for buried IED detection. One such technology is the high frequency EMI (HFEMI) sensor developed under an Office Naval Research project. As a part of the project, IEDs detection studies were conducted at a DoD test site using the HFEMI system. The objective of this paper is to illustrate subsurface IED targets detection and identification capabilities using the HFEMI data and models. Namely, first the paper demonstrates the HFEMI data sets collected over IED targets, including intermediate conducting, low-metal content targets, and explosive filled voids; Then, the advanced EMI models and signal processing approaches are adapted to the HFEMI data sets; and finally, applicability of the advanced models are illustrated by postprocessing and inverting HFEMI data sets.

Conference Presentation

Citation Download Citation

Fridon Shubitidze, Benjamin E. Barrowes, and Guy Jutras "Buried IED targets detection and identification using advanced HFEMI models", Proc. SPIE 11750, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXVI, 1175004 (12 April 2021); https://doi.org/10.1117/12.2588151

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