<div class="csl-bib-body">
<div class="csl-entry">Gasser, C., Göschl, M., Ofner, J., & Lendl, B. (2019). Stand-off Hyperspectral Raman Imaging and Random Decision Forest Classification: A Potent Duo for the Fast, Remote Identification of Explosives. <i>Analytical Chemistry</i>, <i>91</i>(12), 7712–7718. https://doi.org/10.1021/acs.analchem.9b00890</div>
</div>
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dc.identifier.issn
0003-2700
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/143946
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dc.description.abstract
In this study, we present a stand-off hyperspectral Raman imager (HSRI) for the fast detection and classification of different explosives at a distance of 15 m. The hyperspectral image cube is created by using a liquid crystal tunable filter (LCTF) to select a specific Raman shift and sequentially imaging spectral images onto an intensified CCD camera. The laser beam is expanded to illuminate the field of view of the HSRI and thereby improves large area scanning of suspicious surfaces. The collected hyperspectral image cube (HSI) is evaluated and classified using a random decision forest (RDF) algorithm. The RDF is trained with a training set of mg-amounts of different explosives, i.e., TNT, RDX, PETN, NaClO₃, and NH₄NO₃, on an artificial aluminum substrate. The resulting classification is validated, and variable importance is used to optimize the RDF using spectral descriptors, effectively reducing the dimensionality of the data set. Using the gained information, a faster acquisition and calculation mode can be designed, giving improved results in classification at a much higher repetition rate.
en
dc.language.iso
en
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dc.relation.ispartof
Analytical Chemistry
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dc.subject
Analytical Chemistry
en
dc.title
Stand-off Hyperspectral Raman Imaging and Random Decision Forest Classification: A Potent Duo for the Fast, Remote Identification of Explosives
en
dc.type
Artikel
de
dc.type
Article
en
dc.description.startpage
7712
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dc.description.endpage
7718
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dc.type.category
Original Research Article
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tuw.container.volume
91
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tuw.container.issue
12
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tuw.journal.peerreviewed
true
-
tuw.peerreviewed
true
-
tuw.researchTopic.id
M2
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tuw.researchTopic.name
Materials Characterization
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tuw.researchTopic.value
100
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dcterms.isPartOf.title
Analytical Chemistry
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tuw.publication.orgunit
E164-02-1 - Forschungsgruppe Prozessanalytik
-
tuw.publication.orgunit
E163-02-1 - Forschungsgruppe Polymerchemie und Technologie
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tuw.publisher.doi
10.1021/acs.analchem.9b00890
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dc.identifier.eissn
1520-6882
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dc.description.numberOfPages
7
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tuw.author.orcid
0000-0003-3838-5842
-
wb.sci
true
-
wb.sciencebranch
Chemie
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wb.sciencebranch.oefos
1040
-
wb.facultyfocus
Chemistry and Technology of Materials
de
wb.facultyfocus
Chemistry and Technology of Materials
en
wb.facultyfocus.faculty
E150
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item.fulltext
no Fulltext
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item.openairetype
research article
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item.languageiso639-1
en
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item.grantfulltext
restricted
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item.openairecristype
http://purl.org/coar/resource_type/c_2df8fbb1
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item.cerifentitytype
Publications
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crisitem.author.dept
E354-02 - Forschungsbereich Integrated Circuits
-
crisitem.author.dept
E163-02-1 - Forschungsgruppe Polymerchemie und Technologie
-
crisitem.author.dept
E164 - Institut für Chemische Technologien und Analytik
-
crisitem.author.dept
E164-02 - Forschungsbereich Umwelt-, Prozessanalytik und Sensoren
-
crisitem.author.orcid
0000-0003-3838-5842
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crisitem.author.parentorg
E354 - Electrodynamics, Microwave and Circuit Engineering