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Proceedings Paper

Comparison of spatial frequency domain features for the detection of side attack explosive ballistics in synthetic aperture acoustics
Author(s): Josh Dowdy; Derek T. Anderson; Robert H. Luke; John E. Ball; James M. Keller; Timothy C. Havens
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Paper Abstract

Explosive hazards in current and former conflict zones are a threat to both military and civilian personnel. As a result, much effort has been dedicated to identifying automated algorithms and systems to detect these threats. However, robust detection is complicated due to factors like the varied composition and anatomy of such hazards. In order to solve this challenge, a number of platforms (vehicle-based, handheld, etc.) and sensors (infrared, ground penetrating radar, acoustics, etc.) are being explored. In this article, we investigate the detection of side attack explosive ballistics via a vehicle-mounted acoustic sensor. In particular, we explore three acoustic features, one in the time domain and two on synthetic aperture acoustic (SAA) beamformed imagery. The idea is to exploit the varying acoustic frequency profile of a target due to its unique geometry and material composition with respect to different viewing angles. The first two features build their angle specific frequency information using a highly constrained subset of the signal data and the last feature builds its frequency profile using all available signal data for a given region of interest (centered on the candidate target location). Performance is assessed in the context of receiver operating characteristic (ROC) curves on cross-validation experiments for data collected at a U.S. Army test site on different days with multiple target types and clutter. Our preliminary results are encouraging and indicate that the top performing feature is the unrolled two dimensional discrete Fourier transform (DFT) of SAA beamformed imagery.

Paper Details

Date Published: 3 May 2016
PDF: 8 pages
Proc. SPIE 9823, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXI, 98231R (3 May 2016); doi: 10.1117/12.2223298
Show Author Affiliations
Josh Dowdy, Mississippi State Univ. (United States)
Derek T. Anderson, Mississippi State Univ. (United States)
Robert H. Luke, U.S. Army Night Vision & Electronic Sensors Directorate (United States)
John E. Ball, Mississippi State Univ. (United States)
James M. Keller, Univ. of Missouri (United States)
Timothy C. Havens, Michigan Technological Univ. (United States)

Published in SPIE Proceedings Vol. 9823:
Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXI
Steven S. Bishop; Jason C. Isaacs, Editor(s)

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