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dc.contributor.authorMichelsburg, Matthias*
dc.date.accessioned2021-02-11T18:54:33Z
dc.date.available2021-02-11T18:54:33Z
dc.date.issued2014*
dc.date.submitted2019-07-30 20:02:00*
dc.identifier35142*
dc.identifier.issn21906629*
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/52860
dc.description.abstractIn this work, different methods for material classification by hyperspectral images in the near infrared range are investigated. Specifically, the design of problem-adapted camera systems and the choice of optimal optical filters are discussed. In addition, a method for the fusion of multiple camera signals by spectral unmixing is presented.*
dc.languageGerman*
dc.relation.ispartofseriesForschungsberichte aus der Industriellen Informationstechnik / Institut für Industrielle Informationstechnik (IIIT), Karlsruher Institut für Technologie*
dc.subjectT1-995*
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issuesen_US
dc.subject.otherKlassifikation*
dc.subject.otherMaterialvisual inspection*
dc.subject.othermaterial*
dc.subject.otherhyperspectral*
dc.subject.otherInspektionssystem*
dc.subject.otherSichtprüfung*
dc.subject.otherclassification*
dc.subject.otherhyperspektral*
dc.titleMaterialklassifikation in optischen Inspektionssystemen mithilfe hyperspektraler Daten*
dc.typebook
oapen.identifier.doi10.5445/KSP/1000043415*
oapen.relation.isPublishedBy68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2*
oapen.relation.isbn9783731502739*
oapen.pagesXI, 222 p.*
oapen.volume10*
peerreview.review.typeFull text
peerreview.anonymityAll identities known
peerreview.reviewer.typeEditorial board member
peerreview.reviewer.typeExternal peer reviewer
peerreview.review.stagePre-publication
peerreview.open.reviewNo
peerreview.publish.responsibilityBooks or series editor
peerreview.id51a542ec-eaeb-47c2-861d-6022e981a97a
peerreview.titleDissertations in Series (Dissertationen in Schriftenreihe)


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