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

Fellner, Lea and Kraus, Marian and Gebert, Florian and Walter, Arne and Duschek, Frank (2020) Multispectral LIF-Based Standoff Detection System for the Classification of CBE Hazards by Spectral and Temporal Features. Sensors, 20 (9), pp. 2524-2534. Multidisciplinary Digital Publishing Institute (MDPI). DOI: 10.3390/s20092524 ISSN 1424-8220

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Official URL: https://www.mdpi.com/1424-8220/20/9/2524

Abstract

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%.

Item URL in elib:https://elib.dlr.de/134775/
Document Type:Article
Title:Multispectral LIF-Based Standoff Detection System for the Classification of CBE Hazards by Spectral and Temporal Features
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Fellner, Lealea.fellner (at) dlr.dehttps://orcid.org/0000-0002-1359-0260
Kraus, MarianMarian.Kraus (at) dlr.dehttps://orcid.org/0000-0002-5385-9420
Gebert, Florianflorian (at) gebert-bs.dehttps://orcid.org/0000-0003-4009-549X
Walter, Arnearne.walter (at) dlr.dehttps://orcid.org/0000-0002-4377-9152
Duschek, Frankfrank.duschek (at) dlr.dehttps://orcid.org/0000-0002-1809-0257
Date:29 April 2020
Journal or Publication Title:Sensors
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:20
DOI :10.3390/s20092524
Page Range:pp. 2524-2534
Editors:
EditorsEmailEditor's ORCID iD
Liu, MonicaMDPI (Multidisciplinary Digital Publishing Institute)UNSPECIFIED
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
Series Name:Laser Based Remote Sensors for Environmental Science: Apparatus, Measurements and Analysis Techniques
ISSN:1424-8220
Status:Published
Keywords:laser-induced fluorescence (LIF); fluorescence lifetimes; standoff detection; biological agents; early warning
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:fixed-wing aircraft
DLR - Research area:Aeronautics
DLR - Program:L AR - Aircraft Research
DLR - Research theme (Project):L - Laser Research and Technology
Location: Lampoldshausen
Institutes and Institutions:Institute of Technical Physics > Atmospheric Propagation and Effect
Deposited By: Duschek, Dr.rer.nat. Frank
Deposited On:11 May 2020 08:52
Last Modified:11 May 2020 08:52

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