Mine detection performance evaluation for NVESD

Lam H. Nguyen; David Wong; Kenneth I. Ranney

doi:10.1117/12.544284

21 September 2004 Mine detection performance evaluation for NVESD

Lam H. Nguyen, David Wong, Kenneth I. Ranney

Proceedings Volume 5415, Detection and Remediation Technologies for Mines and Minelike Targets IX; (2004) https://doi.org/10.1117/12.544284
Event: Defense and Security, 2004, Orlando, Florida, United States

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.

Citation Download Citation

Lam H. Nguyen, David Wong, and Kenneth I. Ranney "Mine detection performance evaluation for NVESD", Proc. SPIE 5415, Detection and Remediation Technologies for Mines and Minelike Targets IX, (21 September 2004); https://doi.org/10.1117/12.544284

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