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Mine detection performance evaluation for NVESD
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Paper Abstract

The U.S. Army Research Laboratory (ARL) has recently adapted tools and algorithms - developed as part of mission efforts - to support the U.S. Army Night Vision And Electronic Sensors Directorate (NVESD) in its attempt to determine the capability of various sensors to detect small metal and plastic mines in various clutter environments. Images from different sensors and detection results from various processing algorithms can be imported into the ARL evaluation environment for quick visualization, analysis, and performance evaluation. This paper describes the capability of this “environment” and describes how it enables us to quickly assess mine detection performance using data obtained from various sensors. The paper also discusses recent findings from these data collections and the impact that may have on detection performance.

Paper Details

Date Published: 21 September 2004
PDF: 12 pages
Proc. SPIE 5415, Detection and Remediation Technologies for Mines and Minelike Targets IX, (21 September 2004); doi: 10.1117/12.544284
Show Author Affiliations
Lam H. Nguyen, Army Research Lab. (United States)
David Wong, Army Research Lab. (United States)
Kenneth I. Ranney, Army Research Lab. (United States)

Published in SPIE Proceedings Vol. 5415:
Detection and Remediation Technologies for Mines and Minelike Targets IX
Russell S. Harmon; J. Thomas Broach; John H. Holloway, Editor(s)

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