This article presents state-of-the-art unexploded ordnance detection and classification, including examples from recent field-demonstration studies. After reviewing sensor technologies, with a focus on magnetic and electromagnetic systems, the authors discuss advanced processing techniques that allow for reliable discrimination between hazardous ordnance and harmless metallic clutter. Finally, the article shows results from a large-scale field demonstration conducted in 2011. In this case study, electromagnetic data acquired with an advanced sensor is used to identify ordnance at the site, reducing the number of excavations required with conventional metal detectors by 85%.
Beran, Laurens; Zelt, Barry; and Billings, Stephen
"Detecting and Classifying UXO,"
The Journal of ERW and Mine Action
: Vol. 17
, Article 15.
Available at: https://commons.lib.jmu.edu/cisr-journal/vol17/iss1/15