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Proceedings Paper

Detection of buried mines and explosive objects using dual-band thermal imagery
Author(s): Jason J. Lepley; Michael T. Averill
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Paper Abstract

We demonstrate the development and use of novel image processing methods to combine dual-band (MWIR and LWIR) images from SELEX GALILEO's Condor II camera to extract characteristics of observed scenes comprising buried mines and explosive objects. We discuss the development of a statistical processing technique to extract the different characteristics of the two bands. We further present a statistical classifier used to detect targets on independently trained images with a high detection probability and low false negative rates and discuss methods to mitigate the impact of false positives through the selective processing of image regions and the contextual interpretation of the scene content.

Paper Details

Date Published: 23 May 2011
PDF: 12 pages
Proc. SPIE 8017, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XVI, 80171V (23 May 2011); doi: 10.1117/12.883375
Show Author Affiliations
Jason J. Lepley, SELEX Galileo (United Kingdom)
Michael T. Averill, SELEX Galileo (United Kingdom)

Published in SPIE Proceedings Vol. 8017:
Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XVI
Russell S. Harmon; John H. Holloway; J. Thomas Broach, Editor(s)

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