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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| Formato: | Libro electrónico |
| Idioma: | Alemán |
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KIT Scientific Publishing
2014
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| Colección: | Forschungsberichte aus der Industriellen Informationstechnik / Institut für Industrielle Informationstechnik (IIIT), Karlsruher Institut für Technologie
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| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009439525406719 |
| Sumario: | 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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| Descripción Física: | 1 electronic resource (XI, 222 p. p.) |
