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Stand-off explosive detection on surfaces using multispectral MIR-imaging
|Razeghi, M. ; Society of Photo-Optical Instrumentation Engineers -SPIE-, Bellingham/Wash.:|
Quantum sensing and nanophotonic devices VIII : 23 - 27 January 2011, San Francisco, California, United States; Part of SPIE photonics west
Bellingham, WA: SPIE, 2011 (Proceedings of SPIE 7945)
|Conference "Quantum Sensing and Nanophotonic Devices" <8, 2011, San Francisco/Calif.>|
Photonics West Conference <2011, San Franciso/Calif.>
|Fraunhofer IAF ()|
Fraunhofer IPM ()
Fraunhofer ICT ()
| stand-off detection; remote sensing; hyperspectral infrared imaging; image processing; multivariate analysis; external cavity quantum cascade laser; explosives; CBRNE detection|
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.