dc.contributor.author | Zell, Andreas | |
dc.date.accessioned | 2024-01-09T11:49:48Z | |
dc.date.available | 2024-01-09T11:49:48Z | |
dc.date.issued | 2023-05-25 | |
dc.identifier.uri | http://hdl.handle.net/10900/149088 | |
dc.language.iso | en | de_DE |
dc.publisher | KIT Scientific Publishing | de_DE |
dc.relation.uri | https://doi.org/10.5445/KSP/1000155014 | de_DE |
dc.subject.ddc | 004 | de_DE |
dc.title | Self-supervised Pretraining for Hyperspectral Classification of Fruit Ripeness | de_DE |
dc.type | Article | de_DE |
utue.personen.roh | Zell, Andreas | |
utue.personen.roh | Frank, Hannah | |
utue.personen.roh | Varga, Leon Amadeus | |
dcterms.isPartOf.ZSTitelID | OCM 2023-Optical Characterization of Materials: Conference Proceedings | de_DE |
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