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Proceedings Paper

Camp Beale live-site handheld-sensor data inversion and classification using advanced EMI models
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Paper Abstract

ESTCP live-site UXO classification results are presented for cued data collected with two advanced EMI instruments, the cart-based 2 × 2 3D TEMTADS array and the Man Portable Vector (MPV) handheld sensor, at the former Camp Beale in California. There were two sets of targets of interest (TOI): the main set consisted of 105-mm, 81-mm, 60-mm, 37-mm and ISO projectiles, and the other (optional) set comprised site-specific fuzes and fuze fragments of varous sizes. The advanced models used for inversion and classification combine: 1) a joint-diagonalization (JD) algorithm that estimates the number of potential targets generating an anomaly directly from the measured data without need for inversion; 2) the ortho-normalized volume magnetic source (ONVMS) model, which locates targets, represents their EMI responses, and extracts their intrinsic feature vectors; and 3) a Gaussian mixture algorithm that uses extracted discrimination features to classify the corresponding buried objects as TOI or clutter. Initially the data are inverted using a combination of ONVMS and the differential evolution direct-search algorithm; this allows the determination of relevant intrinsic parameters, which in turn are classified by a mixture of clustering and library-matching techniques. This paper describes in more detail the main steps of the classification process and demonstrates the results obtained for the 2 × 2 3D TEMTADS and MPV data taken at Camp Beale, as scored independently by the Institute for Defense Analyses. The advanced models are seen to produce superb classification in both cases.

Paper Details

Date Published: 1 June 2012
PDF: 10 pages
Proc. SPIE 8357, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XVII, 835706 (1 June 2012); doi: 10.1117/12.919586
Show Author Affiliations
I. Shamatava, Sky Research, Inc. (United States)
J. P. Fernández, Thayer School of Engineering at Dartmouth (United States)
B. E. Barrowes, Thayer School of Engineering at Dartmouth (United States)
U.S. Army Corps of Engineers (United States)
K. O'Neill, Thayer School of Engineering at Dartmouth (United States)
U.S. Army Corps of Engineers (United States)
A. Bijamov, Thayer School of Engineering at Dartmouth (United States)
F. Shubitidze, Sky Research, Inc. (United States)
Thayer School of Engineering at Dartmouth (United States)


Published in SPIE Proceedings Vol. 8357:
Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XVII
J. Thomas Broach; John H. Holloway, Editor(s)

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