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Proceedings Paper

The generalized SEA and a statistical signal processing approach applied to UXO discrimination
Author(s): Irma Shamatava; Fridon Shubitidze; Ben Barrowes; Eugene Demidenko; Juan Pablo Fernández; Kevin O'Neill
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Paper Abstract

The prohibitive costs of excavating all geophysical anomalies are well known and are one of the greatest impediments to efficient clean-up of unexploded ordnance (UXO)-contaminated lands at Department of Defense (DoD) and Department of Energy (DOE) sites. Innovative discrimination techniques that can reliably distinguish between hazardous UXO and non-hazardous metallic items are required. The key element to overcoming these difficulties lies in the development of advanced processing techniques that can treat complex data sets to maximize the probability of accurate classification and minimize the false alarm rate. To address these issues, this paper uses a new approach that combines a physically complete EMI forward model called the Generalized Standardized Excitation Approach (GSEA) with a statistical signal processing approach named Mixed Modeling (MM). UXO discrimination requires the inversion of digital geophysical data, which could be divided into two pars: 1) linear - estimating model parameters such as the amplitudes of the responding GSEA sources and 2) non-linear - inverting an object's location and orientation. Usually the data inversion is an ill-posed problem that requires regularization. Determining the regularization parameter is not straightforward, and in many cases depends on personal experience. To overcome this issue, in this paper we employ the statistical approach to estimate regularization parameters from actual data using the un-surprised mixed model approach. In addition, once the non-linear inverse scattering parameters are estimated then for UXO discrimination a covariance matrix and confidence interval are derived. The theoretical basis and practical realization of the combined GSEA-Mixed Model algorithm are demonstrated. Discrimination studies are done for ATC-UXO sets of time-domain EMI data collected at the ERDC UXO test stand site in Vicksburg, Mississippi.

Paper Details

Date Published: 29 April 2008
PDF: 11 pages
Proc. SPIE 6953, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XIII, 69531G (29 April 2008); doi: 10.1117/12.777885
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)
Ben Barrowes, U.S. Army ERDC Cold Regions Research and Engineering Lab. (United States)
Eugene Demidenko, Dartmouth College (United States)
Juan Pablo Fernández, Sky Research, Inc. (United States)
Kevin O'Neill, Sky Research, Inc. (United States)
U.S. Army ERDC Cold Regions Research and Engineering Lab. (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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