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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| Auteur principal: | |
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| Format: | Électronique Chapitre de livre |
| Publié: |
KIT Scientific Publishing
2014
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| Collection: | Forschungsberichte aus der Industriellen Informationstechnik / Institut für Industrielle Informationstechnik (IIIT), Karlsruher Institut für Technologie
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| Sujets: | |
| Accès en ligne: | DOAB: download the publication DOAB: description of the publication |
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| Résumé: | 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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| Description matérielle: | 1 electronic resource (XI, 222 p. p.) |
| ISBN: | KSP/1000043415 9783731502739 |
| Accès: | Open Access |