LEADER 01726nam 2200397z- 450 001 9910347048703321 005 20231214141125.0 010 $a1000043415 035 $a(CKB)4920000000102029 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/52860 035 $a(EXLCZ)994920000000102029 100 $a20202102d2014 |y 0 101 0 $ager 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMaterialklassifikation in optischen Inspektionssystemen mithilfe hyperspektraler Daten 210 $cKIT Scientific Publishing$d2014 215 $a1 electronic resource (XI, 222 p. p.) 225 1 $aForschungsberichte aus der Industriellen Informationstechnik / Institut für Industrielle Informationstechnik (IIIT), Karlsruher Institut für Technologie 311 $a3-7315-0273-9 330 $aIn 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. 610 $aKlassifikation 610 $aMaterialvisual inspection 610 $amaterial 610 $ahyperspectral 610 $aInspektionssystem 610 $aSichtprüfung 610 $aclassification 610 $ahyperspektral 700 $aMichelsburg$b Matthias$4auth$01318475 906 $aBOOK 912 $a9910347048703321 996 $aMaterialklassifikation in optischen Inspektionssystemen mithilfe hyperspektraler Daten$93033299 997 $aUNINA