Deep learning-based training data augmentation combined with post-classification improves the classification accuracy for dominant and scattered invasive forest tree species
dc.contributor.author | Likó, Szilárd Balázs | |
dc.contributor.author | Holb, Imre | |
dc.contributor.author | Oláh, Viktor | |
dc.contributor.author | Burai, Péter | |
dc.contributor.author | Szabó, Szilárd | |
dc.date.accessioned | 2023-08-10T09:24:54Z | |
dc.date.available | 2023-08-10T09:24:54Z | |
dc.date.issued | 2024 | |
dc.date.oa | 2024-05-29 | |
dc.date.pasync | 2024-07-18T23:07:18Z | |
dc.date.updated | 2023-08-10T09:24:54Z | |
dc.description.corrector | LB | |
dc.identifier.citation | Remote Sensing in Ecology and Conservation. -10 : 2 (2024), p. 203-219. -Remote Sens Ecol Conserv. - 2056-3485. - 2056-3485 | |
dc.identifier.doi | http://dx.doi.org/10.1002/rse2.365 | |
dc.identifier.issn | 2056-3485 | |
dc.identifier.opac | https://ebib.lib.unideb.hu/ebib/CorvinaWeb?action=cclfind&resultview=long&ccltext=idno+BIBFORM113915 | |
dc.identifier.scopus | 85167334773 | |
dc.identifier.uri | https://hdl.handle.net/2437/358131 | |
dc.identifier.url | https://zslpublications.onlinelibrary.wiley.com/doi/10.1002/rse2.365 | |
dc.identifier.wos | 001044509700001 | |
dc.language | eng | |
dc.rights.access | open access article | |
dc.subject.mab | Természettudományok | |
dc.subject.mab | Földtudományok | |
dc.tender | Egyéb K138079 | |
dc.tender | Egyéb K138503 | |
dc.tender | Egyéb K131478 | |
dc.tender | Egyéb KKP144068 | |
dc.title | Deep learning-based training data augmentation combined with post-classification improves the classification accuracy for dominant and scattered invasive forest tree species | |
dc.type | folyóiratcikk | |
dc.type | idegen nyelvű folyóiratközlemény külföldi lapban |
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