Automated Detection of Fingerprint Traces of High Explosives Using Ultraviolet Raman Spectroscopy
Keyword(s):
Ultraviolet (UV) resonance Raman spectroscopy is a promising technique for the detection of trace explosives. For real-world applications, it is necessary to develop data evaluation algorithms that automatically recognize the spectral features of explosives in a sample spectrum. We have developed a robust algorithm that can tolerate high levels of fluorescence background. We successfully demonstrated the detection of traces of ANFO and TNT explosives at surface coverage levels of 55 μg/cm2 in a blind test experiment. The sensitivity and selectivity is discussed in terms of receiver operating characteristics (ROC) curves.
1999 ◽
Vol 96
(8)
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pp. 4500-4505
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2011 ◽
Vol 225
(6-7)
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pp. 691-702
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2018 ◽
Vol 410
(23)
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pp. 5839-5847
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1990 ◽
Vol 94
(22)
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pp. 8396-8399
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