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Proceedings Paper

Performance of a four parameter model for modeling landmine signatures in frequency domain wideband electromagnetic induction detection systems
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Paper Abstract

This work explores possible performance enhancements for landmine detection algorithms using frequency domain wideband electromagnetic induction sensors. A pre-existing four parameter model for conducting objects based on empirically collected data for UXO is discussed, and its application for accurately modeling landmine signatures is also considered. Discrimination of mines versus clutter based on the extracted model parameters is considered. Furthermore, this work will compare the effectiveness of discrimination based on the four parameter model to a matched subspace detection algorithm. Experimental results using data from government run test sites will be presented.

Paper Details

Date Published: 27 April 2007
PDF: 8 pages
Proc. SPIE 6553, Detection and Remediation Technologies for Mines and Minelike Targets XII, 65530D (27 April 2007); doi: 10.1117/12.719460
Show Author Affiliations
Eric B. Fails, Duke Univ. (United States)
Peter A. Torrione, Duke Univ. (United States)
Waymond R. Scott, Georgia Institute of Technology (United States)
Leslie M. Collins, Duke Univ. (United States)


Published in SPIE Proceedings Vol. 6553:
Detection and Remediation Technologies for Mines and Minelike Targets XII
Russell S. Harmon; J. Thomas Broach; John H. Holloway, Editor(s)

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