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Proceedings Paper

Applying the physically complete EMI models to the ESTCP Camp Sibert Pilot Study EM-63 data
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Paper Abstract

Recently the SERDP/ESTCP office under the UXO Discrimination Pilot Study Program acquired high-density data over hundreds of targets using time-domain EM-63 sensor at Camp Sibert. The data were inverted and analyzed by various research groups using a simple dipole model approach and different classification tools. The studies demonstrated high discrimination probability with a low false-alarm rate. However in order to further improve discrimination between UXO and non-UXO items a better understanding is needed of the limits of current and emerging processing approaches. In this paper, the simple dipole model and a physically complete model called the normalized surface magnetic source (NSMS) the Camp Sibert data sets. The simple, infinitesimal dipole representation is by far the most widely employed model for UXO modeling. In this model, one approximates a target's response when excited by a primary (transmitted) field using an induced infinitesimal dipole (in turn described by a single magnetic polarizability matrix). The greatest advantage of the dipole model is that it is simple and imposes low computation costs. However, researchers have recently begun to realize the limitations of the simple dipole model as an inherently coarse description of the EMI behavior of complex, heterogeneous targets like UXO. To address these limitations, here the NSMS is employed as a more powerful forward model for data inversion and object discrimination. This method is extremely fast and equally applicable to the time or frequency domains. The object's location and orientation are estimated by using a standard nonlinear inversion-scattering approach. The discrimination performance between the dipole and NSMS models are conducted by investigating model fidelity and data density issues, positional accuracy and geological noise effects.

Paper Details

Date Published: 4 May 2009
PDF: 11 pages
Proc. SPIE 7303, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XIV, 73030O (4 May 2009); doi: 10.1117/12.819068
Show Author Affiliations
Irma Shamatava, Sky Research, Inc. (United States)
Dartmouth College (United States)
Fridon Shubitidze, Sky Research, Inc. (United States)
Dartmouth College (United States)
Benjamin Barrowes, Dartmouth College (United States)
U.S. Army Engineer Research and Development Ctr. (United States)
Juan Pablo Fernández, Dartmouth College (United States)
Leonard R. Pasion, Sky Research, Inc. (United States)
Kevin O'Neill, Dartmouth College (United States)
U.S. Army Engineer Research and Development Ctr. (United States)


Published in SPIE Proceedings Vol. 7303:
Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XIV
Russell S. Harmon; J. Thomas Broach; John H. Holloway, Editor(s)

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