1. Hyperspectral imaging for standoff trace detection of explosives using quantum cascade lasers (Conference Presentation)
- Author
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Marko Härtelt, Ralf Ostendorf, Quankui K. Yang, J. Jarvis, Rolf Aidam, Stefan Hugger, Joachim Wagner, Christian Schilling, Marcel Rattunde, Rachid Driad, and Frank Fuchs
- Subjects
Materials science ,Backscatter ,Explosive material ,business.industry ,Hyperspectral imaging ,Fingerprint recognition ,Laser ,Spectral line ,law.invention ,Wavelength ,Optics ,law ,business ,Spectroscopy - Abstract
Reliable standoff detection of traces of explosives is still a challenging task. Imaging MIR backscattering spectroscopy has been shown to be a promising technique for non-contact detection of traces of explosives on various surfaces. This technique, which is eye-safe, relies on active imaging with MIR laser illumination at various wavelengths. Recording the backscattered light with a MIR camera at each illumination wavelength, the MIR backscattering spectrum can be extracted from the three-dimensional data set recorded for each point within the laser illuminated area. Applying appropriate image analysis algorithms to this hyper-spectral data set, chemically sensitive and selective images of the surface of almost any object can be generated. This way, residues of explosives can be clearly identified on the basis of characteristic finger print backscattering spectra and separated from the corresponding spectra of the underlying material. To achieve a high selectivity, a large spectral coverage is a key requirement. Using a MIR EC-QCL with a tuning range from 7.5 μm to 9.5 μm, different explosives such as TNT, PETN and RDX residing on different background materials, such as painted metal sheets, cloth and polyamide, could be clearly detected and identified. For short stand-off detection distances (
- Published
- 2017