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Proceedings Paper

Estimating object depth using a vertical gradient metal detector
Author(s): Jay Marble; Ian McMichael; Denis Reidy
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Paper Abstract

Object depth is a simple characteristic that can indicate an object's type. Popular instruments like radar, metal detectors, and magnetometers are often used to detect the presence of a subsurface object. The next question is often, "How deep is it?" Determining the answer, however, is not as straight forward as might be expected. This paper explores the determination of depth using metal detectors. More specifically, it looks at a popular metal detector (the Geonics EM61) and makes use of its vertically separated coils to generate a depth estimate. Estimated depths are shown for UXO and small surface clutter from flush buried down to 48". Ultimately a statistical depth resolution is determined. An alternative approach is then considered that casts the depth determination problem as one of classification. Only two classes are considered important "deep" and "shallow". Results are shown that illustrate the utility of the classifier approach. The traditional estimator can provide a depth estimate of the object, but the classifier approach can distinguish between small shallow, large deep, and large shallow object classes.

Paper Details

Date Published: 29 April 2008
PDF: 9 pages
Proc. SPIE 6953, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XIII, 695313 (29 April 2008); doi: 10.1117/12.779575
Show Author Affiliations
Jay Marble, U.S. Army RDECOM CERDEC Night Vision & Electronic Sensors Directorate (United States)
Ian McMichael, U.S. Army RDECOM CERDEC Night Vision & Electronic Sensors Directorate (United States)
Denis Reidy, BRTRC (United States)


Published in SPIE Proceedings Vol. 6953:
Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XIII
Russell S. Harmon; John H. Holloway; J. Thomas Broach, Editor(s)

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