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...
Gespeichert in:
- 1. Verfasser:
- Format:
- Elektronisch E-Book
- Veröffentlicht:
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[Verlagsort nicht ermittelbar]
KIT Scientific Publishing
2014
- Zusammenfassung:
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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
- Umfang:
- 1 electronic resource (XI, 222 p. p.)
- Anmerkungen:
- GERMAN
- ISBN:
- 9783731502739
- Zugangseinschränkungen:
- Open Access
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