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Proceedings Paper

Detecting and classifying small and deep targets using improved EMI hardware and data processing approach
Author(s): F. Shubitidze; B. E. Barrowes; J. B. Sigman; Yinlin Wang; Irma Shamatava; K. O'Neill
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Paper Abstract

The appearance of next-generation EMI sensors has been accompanied by the development of advanced EMI models and new interpretation and inversion schemes that take advantage of the richness and diversity of the data provided by these instruments. The technologies have been successfully tested in various scenarios, including ESTCP live-UXO classification studies, and have demonstrated superb classification performances. The studies have shown that the system’s ability to detect and classify small targets (i.e., calibers ranging from 20 to 60 mm) and deep targets (burial depth more than 11 times the target’s diameter) is still a challenging problem when an existing system is used. To overcome this problem, first the standard approach is analyzed, then targets detections are studied for different transmitter coil combinations and transmitter current magnitudes. The results are validated experimentally. The studies are done for a 37mm projectile placed at 42cm and 86 cm under the 2×2 TEMTADS instrument. The target detection and classification performances are illustrated for 6, 11 and 14 Ampere Tx currents using the joint diagonalization and ortho normalized volume magnetic source techniques.

Paper Details

Date Published: 9 June 2014
PDF: 8 pages
Proc. SPIE 9072, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XIX, 90720I (9 June 2014); doi: 10.1117/12.2050893
Show Author Affiliations
F. Shubitidze, Dartmouth College (United States)
White River Technologies, Inc. (United States)
B. E. Barrowes, Dartmouth College (United States)
U.S. Army Engineer Research and Engineering Ctr. (United States)
J. B. Sigman, Dartmouth College (United States)
Yinlin Wang, Dartmouth College (United States)
Irma Shamatava, White River Technologies, Inc. (United States)
Thayer School of Engineering at Dartmouth (United States)
K. O'Neill, Dartmouth College (United States)


Published in SPIE Proceedings Vol. 9072:
Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XIX
Steven S. Bishop; Jason C. Isaacs, Editor(s)

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