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22 May 2015 Standoff trace detection of explosives with infrared hyperspectral imagery
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In this work we present a hyperspectral image sensor based on MIR-laser backscattering spectroscopy for contactless detection of explosive substance traces. The spectroscopy system comprises a tunable Quantum Cascade Laser (QCL) with a tuning range of 7.5 μm to 9.5 μm as an illumination source and a high performance MCT 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 hyperspectral image data is analyzed for traces of target substances using a state of the art target detection algorithm (the Adaptive Matched Subspace Detector) together with an appropriate background extraction method. The technique is eye-safe and allows imaging detection of a large variety of explosive substances including PETN, RDX, TNT and Ammonium Nitrate. For short stand-off detection distances (<3 m), residues of explosives at an amount of just a few 10 μg, i.e. traces corresponding to a single fingerprint, could be detected. For larger concentration of explosives, stand-off detection over distances of up to 20 m has already been demonstrated.
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F. Fuchs, S. Hugger, J.-P. Jarvis, Q. K. Yang, F. Zaum, R. Ostendorf, Ch. Schilling, W. Bronner, R. Driad, R. Aidam, and J. Wagner "Standoff trace detection of explosives with infrared hyperspectral imagery", Proc. SPIE 9467, Micro- and Nanotechnology Sensors, Systems, and Applications VII, 94672O (22 May 2015);

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