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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| Κύριος συγγραφέας: | |
|---|---|
| Μορφή: | Online |
| Γλώσσα: | Γερμανικά |
| Έκδοση: |
KIT Scientific Publishing
2021
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| Θέματα: | |
| Διαθέσιμο Online: | 35142 |
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| _version_ | 1869517721056575488 |
|---|---|
| author | Michelsburg, Matthias |
| author_browse | Michelsburg, Matthias |
| author_facet | Michelsburg, Matthias |
| author_sort | Michelsburg, Matthias |
| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-52860 |
| institution | Directory of Open Access Books |
| language | ger |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | KIT Scientific Publishing |
| publisherStr | KIT Scientific Publishing |
| record_format | ojs |
| spelling | doab-20.500.12854ir-528602024-04-09T23:16:29Z Materialklassifikation in optischen Inspektionssystemen mithilfe hyperspektraler Daten Michelsburg, Matthias T1-995 Klassifikation Materialvisual inspection material hyperspectral Inspektionssystem Sichtprüfung classification hyperspektral thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues 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. 2021-02-11T18:54:33Z 2021-02-11T18:54:33Z 2019-07-30 20:02:00 2014 book 35142 21906629 9783731502739 https://directory.doabooks.org/handle/20.500.12854/52860 ger Forschungsberichte aus der Industriellen Informationstechnik / Institut für Industrielle Informationstechnik (IIIT), Karlsruher Institut für Technologie image/jpeg Attribution-ShareAlike 4.0 International https://www.ksp.kit.edu/9783731502739 KIT Scientific Publishing 10.5445/KSP/1000043415 10.5445/KSP/1000043415 68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2 9783731502739 XI, 222 p. open access |
| spellingShingle | T1-995 Klassifikation Materialvisual inspection material hyperspectral Inspektionssystem Sichtprüfung classification hyperspektral thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues Michelsburg, Matthias Materialklassifikation in optischen Inspektionssystemen mithilfe hyperspektraler Daten |
| title | Materialklassifikation in optischen Inspektionssystemen mithilfe hyperspektraler Daten |
| title_full | Materialklassifikation in optischen Inspektionssystemen mithilfe hyperspektraler Daten |
| title_fullStr | Materialklassifikation in optischen Inspektionssystemen mithilfe hyperspektraler Daten |
| title_full_unstemmed | Materialklassifikation in optischen Inspektionssystemen mithilfe hyperspektraler Daten |
| title_short | Materialklassifikation in optischen Inspektionssystemen mithilfe hyperspektraler Daten |
| title_sort | materialklassifikation in optischen inspektionssystemen mithilfe hyperspektraler daten |
| topic | T1-995 Klassifikation Materialvisual inspection material hyperspectral Inspektionssystem Sichtprüfung classification hyperspektral thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues |
| topic_facet | T1-995 Klassifikation Materialvisual inspection material hyperspectral Inspektionssystem Sichtprüfung classification hyperspektral thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues |
| url | 35142 |
| work_keys_str_mv | AT michelsburgmatthias materialklassifikationinoptischeninspektionssystemenmithilfehyperspektralerdaten |