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Proceedings Paper

Curvelet filter based prescreener for explosive hazard detection in hand-held ground penetrating radar
Author(s): Julie L. White; Derek T. Anderson; John E. Ball; Brian Parker
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Paper Abstract

Explosive hazards, above and below ground, are a serious threat to civilians and soldiers. In an attempt to mitigate these threats, different forms of explosive hazard detection (EHD) exist; e.g., multi-sensor hand-held platforms, downward looking and forward looking vehicle mounted platforms, etc. Robust detection of these threats resides in the processing and fusion of different data from multiple sensing modalities, e.g., radar, infrared, electromagnetic induction (EMI), etc. Herein, we focus on a new energy-based prescreener in hand-held ground penetrating radar (GPR). First, we Curvelet filter B-scan signal data using either Reverse-Reconstruction followed by Enhancement (RRE) or selectivity with respect to wedge information in the Curvelet transform. Next, we aggregate the result of a bank of matched filters and run a size contrast filter with Bhattacharyya distance. Alarms are then combined using weighted mean shift clustering. Results are demonstrated in the context of receiver operating characteristics (ROC) curve performance on data from a U. S. Army test site that contains multiple target and clutter types, burial depths and times of the day.

Paper Details

Date Published: 3 May 2016
PDF: 17 pages
Proc. SPIE 9823, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXI, 98230H (3 May 2016); doi: 10.1117/12.2223291
Show Author Affiliations
Julie L. White, Mississippi State Univ. (United States)
Derek T. Anderson, Mississippi State Univ. (United States)
John E. Ball, Mississippi State Univ. (United States)
Brian Parker, Mississippi State 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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