Paper
24 January 2011 Stand-off explosive detection on surfaces using multispectral MIR-imaging
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Abstract
We present a system for the stand-off detection of solid explosive traces and precursors on surfaces. The system consists of a widely tunable quantum cascade laser (QCL) and a thermal imaging camera. The external cavity quantum cascade laser (EC-QCL) illuminates the surface of a distant object at different characteristic wavelengths. In synchronisation with the camera a hyperspectral data cube of the backscattered radiation is generated allowing a multivariate analysis of the scene. We demonstrate how multidimensional image processing is used in order to fast and sensitively detect traces of hazardous substances such as trinitrotoluene (TNT) or pentaerythritol tetranitrate (PETN). The recognition algorithm is developed to effectively suppress false alarms. Experiments are performed on real world like surfaces such as standard car paint, synthetic cloth or jeans fabric.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kai Degreif, Sven Rademacher, Petya Dasheva, Frank Fuchs, Stefan Hugger, Frank Schnürer, and Wenka Schweikert "Stand-off explosive detection on surfaces using multispectral MIR-imaging", Proc. SPIE 7945, Quantum Sensing and Nanophotonic Devices VIII, 79450P (24 January 2011); https://doi.org/10.1117/12.874044
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CITATIONS
Cited by 9 scholarly publications.
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KEYWORDS
Cameras

Quantum cascade lasers

Explosives detection

Backscatter

Explosives

Algorithm development

Imaging systems

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