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...
| Format: | eBook |
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| Language: | German |
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KIT Scientific Publishing
2014
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| Series: | Forschungsberichte aus der Industriellen Informationstechnik / Institut für Industrielle Informationstechnik (IIIT), Karlsruher Institut für Technologie
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| Subjects: | |
| Online Access: | Open Access: DOAB: description of the publication Open Access: DOAB, download the publication |
| Summary: | 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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| Physical Description: | 1 online resource (XI, 222 p. p.) |
| ISBN: | 9783731502739 KSP/1000043415 |
| Access: | Open Access |