Materialklassifikation in optischen Inspektionssystemen mithilfe hyperspektraler Daten

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https://www.ksp.kit.edu/9783731502739
Author(s)
Michelsburg, Matthias
Language
German
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Abstract
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.
URI
https://directory.doabooks.org/handle/20.500.12854/52860
Keywords
Klassifikation; Materialvisual inspection; material; hyperspectral; Inspektionssystem; Sichtprüfung; classification; hyperspektral
DOI
10.5445/KSP/1000043415
ISBN
9783731502739
Publisher
KIT Scientific Publishing
Publisher website
http://www.ksp.kit.edu/
Publication date and place
2014
Series
Forschungsberichte aus der Industriellen Informationstechnik / Institut für Industrielle Informationstechnik (IIIT), Karlsruher Institut für Technologie,
Classification
Technology: general issues
Pages
XI, 222 p.
Review type
Full text
Anonymity
All identities known
Reviewer type
Editorial board member; External peer reviewer
Review stage
Pre-publication
Open review
No
Publish responsibility
Books or series editor
Rights
https://creativecommons.org/licenses/by-sa/4.0/
https://creativecommons.org/licenses/by-sa/4.0/
Except where otherwise noted, this item's license is described as https://creativecommons.org/licenses/by-sa/4.0/