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...
Zapisane w:
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| Format: | Online |
| Język: | niemiecki |
| Wydane: |
KIT Scientific Publishing
2021
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| Hasła przedmiotowe: | |
| Dostęp online: | 35142 |
| Etykiety: |
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| Streszczenie: | 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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