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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Bibliographic Details
Main Author: Michelsburg, Matthias (auth)
Format: Book Chapter
Published: KIT Scientific Publishing 2014
Subjects:
Online Access:Get Fullteks
DOAB: description of the publication
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005 20210211
020 |a KSP/1000043415 
020 |a 9783731502739 
024 7 |a 10.5445/KSP/1000043415  |c doi 
041 0 |a German 
042 |a dc 
100 1 |a Michelsburg, Matthias  |4 auth 
245 1 0 |a Materialklassifikation in optischen Inspektionssystemen mithilfe hyperspektraler Daten 
260 |b KIT Scientific Publishing  |c 2014 
300 |a 1 electronic resource (XI, 222 p. p.) 
506 0 |a Open Access  |2 star  |f Unrestricted online access 
520 |a 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. 
540 |a Creative Commons  |f https://creativecommons.org/licenses/by-sa/4.0/  |2 cc  |4 https://creativecommons.org/licenses/by-sa/4.0/ 
546 |a German 
653 |a Klassifikation 
653 |a Materialvisual inspection 
653 |a material 
653 |a hyperspectral 
653 |a Inspektionssystem 
653 |a Sichtprüfung 
653 |a classification 
653 |a hyperspektral 
856 4 0 |a www.oapen.org  |u https://www.ksp.kit.edu/9783731502739  |7 0  |z Get Fullteks 
856 4 0 |a www.oapen.org  |u https://directory.doabooks.org/handle/20.500.12854/52860  |7 0  |z DOAB: description of the publication