Materialklassifikation in optischen Inspektionssystemen mithilfe hyperspektraler Daten

In 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...

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Bibliographic Details
Main Author: Michelsburg, Matthias (auth)
Format: Electronic Book Chapter
Published: KIT Scientific Publishing 2014
Series:Forschungsberichte aus der Industriellen Informationstechnik / Institut für Industrielle Informationstechnik (IIIT), Karlsruher Institut für Technologie
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Online Access:DOAB: download the publication
DOAB: description of the publication
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520 |a In 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. 
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546 |a German 
650 7 |a Technology: general issues  |2 bicssc 
653 |a Klassifikation 
653 |a Materialvisual inspection 
653 |a material 
653 |a hyperspectral 
653 |a Inspektionssystem 
653 |a Sichtprüfung 
653 |a classification 
653 |a hyperspektral 
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