Hyperspectral image analysis for standoff trace detection using IR laser spectroscopy

J. Jarvis; F. Fuchs; S. Hugger; R. Ostendorf; L. Butschek; Q. Yang; A. Dreyhaupt; J. Grahmann; J. Wagner

doi:10.1117/12.2223604

12 May 2016 Hyperspectral image analysis for standoff trace detection using IR laser spectroscopy

J. Jarvis, F. Fuchs, S. Hugger, R. Ostendorf, L. Butschek, Q. Yang, A. Dreyhaupt, J. Grahmann, J. Wagner

Proceedings Volume 9824, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XVII; 98240V (2016) https://doi.org/10.1117/12.2223604
Event: SPIE Defense + Security, 2016, Baltimore, MD, United States

Abstract

In the recent past infrared laser backscattering spectroscopy using Quantum Cascade Lasers (QCL) emitting in the molecular fingerprint region between 7.5 μm and 10 μm proved a highly promising approach for stand-off detection of dangerous substances. In this work we present an active illumination hyperspectral image sensor, utilizing QCLs as spectral selective illumination sources. A high performance Mercury Cadmium Telluride (MCT) imager is used for collection of the diffusely backscattered light. Well known target detection algorithms like the Adaptive Matched Subspace Detector and the Adaptive Coherent Estimator are used to detect pixel vectors in the recorded hyperspectral image that contain traces of explosive substances like PETN, RDX or TNT. In addition we present an extension of the backscattering spectroscopy technique towards real-time detection using a MOEMS EC-QCL.

Citation Download Citation

J. Jarvis, F. Fuchs, S. Hugger, R. Ostendorf, L. Butschek, Q. Yang, A. Dreyhaupt, J. Grahmann, and J. Wagner "Hyperspectral image analysis for standoff trace detection using IR laser spectroscopy", Proc. SPIE 9824, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XVII, 98240V (12 May 2016); https://doi.org/10.1117/12.2223604

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