Share Email Print
cover

Proceedings Paper

Spencer Range live-site portable EMI sensors target classification
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

ESTCP live-site UXO classification results are presented for cued data collected by the Man Portable Vector (MPV) handheld sensor, at the Former Spencer Artillery Range in Tennessee. The site was contaminated with assorted munitions, ranging in caliber from 37 mm to 155 mm. The MPV data were collected in two areas: dynamic and wooded. The data sets are inverted using an advanced forward EMI model, the ortho-normalized volume magnetic source (ONVMS) model, combined with a direct-search optimization algorithm known as differential evolution. All data are inverted assuming one, two, and three sources. For each inversion, the targets’ intrinsic parameters are extracted and used in a library matching technique. Anomalies are classified as targets of interest (TOI) or clutter. Prioritized dig lists were constructed and submitted to the Institute for Defense Analysis for independent scoring. The result revealed an excellent classification performance by the advanced EMI models when applied to the Spencer Range MPV data. This paper describes the MPV sensor and the advanced models and demonstrates the Receiver Operating Characteristic curves for the cued MPV data collected at the Spencer Range.

Paper Details

Date Published: 7 June 2013
PDF: 10 pages
Proc. SPIE 8709, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XVIII, 870905 (7 June 2013); doi: 10.1117/12.2016354
Show Author Affiliations
I. Shamatava, White River Technologies, Inc. (United States)
Thayer School of Engineering at Dartmouth (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 Engineer Research and Development Ctr. (United States)
K. O'Neill, White River Technologies, Inc. (United States)
Thayer School of Engineering at Dartmouth (United States)
F. Shubitidze, White River Technologies, Inc. (United States)
Thayer School of Engineering at Dartmouth (United States)


Published in SPIE Proceedings Vol. 8709:
Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XVIII
J. Thomas Broach; Jason C. Isaacs, Editor(s)

© SPIE. Terms of Use
Back to Top