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Hyperspectral image analysis for standoff detection of explosives

 
: Jarvis, J.P.; Fuchs, F.; Hugger, S.; Blattmann, V.; Yang, Q.K.; Ostendorf, R.; Bronner, W.; Driad, R.; Aidam, R.; Wagner, J.; Beyerer, Jürgen

Lauster, Michael (Hrsg.) ; Fraunhofer Verbund Verteidigungs- und Sicherheitsforschung; Fraunhofer-Institut für Naturwissenschaftlich-Technische Trendanalysen -INT-, Euskirchen:
8th Future Security 2013. Security Research Conference : Berlin, September 17 - 19, 2013. Proceedings
Stuttgart: Fraunhofer Verlag, 2013
ISBN: 3-8396-0604-7
ISBN: 978-3-8396-0604-9
S.205-214
Security Research Conference "Future Security" <8, 2013, Berlin>
Englisch
Konferenzbeitrag
Fraunhofer IAF ()
Fraunhofer IOSB ()
stand-off detection; remote sensing; hyperspectral target detection; quantum cascade laser; infrared spectroscopy

Abstract
In this work we present a hyperspectral target detection system for identifying traces of explosives on arbitrary surfaces using active infrared laser based backscattering spectroscopy. The spectroscopy system comprises a tunable Quantum Cascade Laser (QCL) with a tuning range of 300 cm(-1) as an illumination source and a high performance IR camera for collecting the backscattered light. The resulting measurement data forms a hyperspectral image, where each pixel vector contains the backscattering spectrum of a specific location in the scene. The pixel vectors in the hyperspectral image are analyzed with two well-known target detection algorithms for contamination with explosive substances like PETN, TNT and RDX.

: http://publica.fraunhofer.de/dokumente/N-259775.html