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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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