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Materialklassifikation in optischen Inspektionssystemen mithilfe hyperspektraler Daten

Materialklassifikation in optischen Inspektionssystemen mithilfe hyperspektraler Daten

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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.

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Keywords

  • Classification
  • hyperspectral
  • hyperspektral
  • Inspektionssystem
  • Klassifikation
  • material
  • Materialvisual inspection
  • Sichtprüfung
  • Technology, engineering, agriculture
  • Technology: general issues

Links

DOI: 10.5445/KSP/1000043415

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