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Article

Multispectral LIF-Based Standoff Detection System for the Classification of CBE Hazards by Spectral and Temporal Features

German Aerospace Center (DLR), Institute of Technical Physics, Im Langen Grund 1, 74239 Hardthausen, Germany
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Sensors 2020, 20(9), 2524; https://doi.org/10.3390/s20092524
Received: 26 March 2020 / Revised: 20 April 2020 / Accepted: 27 April 2020 / Published: 29 April 2020
Laser-induced fluorescence (LIF) is a well-established technique for monitoring chemical processes and for the standoff detection of biological substances because of its simple technical implementation and high sensitivity. Frequently, standoff LIF spectra from large molecules and bio-agents are only slightly structured and a gain of deeper information, such as classification, let alone identification, might become challenging. Improving the LIF technology by recording spectral and additionally time-resolved fluorescence emission, a significant gain of information can be achieved. This work presents results from a LIF based detection system and an analysis of the influence of time-resolved data on the classification accuracy. A multi-wavelength sub-nanosecond laser source is used to acquire spectral and time-resolved data from a standoff distance of 3.5 m. The data set contains data from seven different bacterial species and six types of oil. Classification is performed with a decision tree algorithm separately for spectral data, time-resolved data and the combination of both. The first findings show a valuable contribution of time-resolved fluorescence data to the classification of the investigated chemical and biological agents to their species level. Temporal and spectral data have been proven as partly complementary. The classification accuracy is increased from 86% for spectral data only to more than 92%. View Full-Text
Keywords: laser-induced fluorescence (LIF); fluorescence lifetimes; standoff detection; biological agents; early warning laser-induced fluorescence (LIF); fluorescence lifetimes; standoff detection; biological agents; early warning
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MDPI and ACS Style

Fellner, L.; Kraus, M.; Gebert, F.; Walter, A.; Duschek, F. Multispectral LIF-Based Standoff Detection System for the Classification of CBE Hazards by Spectral and Temporal Features. Sensors 2020, 20, 2524. https://doi.org/10.3390/s20092524

AMA Style

Fellner L, Kraus M, Gebert F, Walter A, Duschek F. Multispectral LIF-Based Standoff Detection System for the Classification of CBE Hazards by Spectral and Temporal Features. Sensors. 2020; 20(9):2524. https://doi.org/10.3390/s20092524

Chicago/Turabian Style

Fellner, Lea, Marian Kraus, Florian Gebert, Arne Walter, and Frank Duschek. 2020. "Multispectral LIF-Based Standoff Detection System for the Classification of CBE Hazards by Spectral and Temporal Features" Sensors 20, no. 9: 2524. https://doi.org/10.3390/s20092524

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