Detection of buried mines and explosive objects using dual-band thermal imagery

Jason J. Lepley; Michael T. Averill

doi:10.1117/12.883375

23 May 2011 Detection of buried mines and explosive objects using dual-band thermal imagery

Jason J. Lepley, Michael T. Averill

Proceedings Volume 8017, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XVI; 80171V (2011) https://doi.org/10.1117/12.883375
Event: SPIE Defense, Security, and Sensing, 2011, Orlando, Florida, United States

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.

Citation Download Citation

Jason J. Lepley and Michael T. Averill "Detection of buried mines and explosive objects using dual-band thermal imagery", Proc. SPIE 8017, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XVI, 80171V (23 May 2011); https://doi.org/10.1117/12.883375

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