Deep learning-based training data augmentation combined with post-classification improves the classification accuracy for dominant and scattered invasive forest tree species

Likó, Szilárd BalázsHolb, ImreOláh, ViktorBurai, PéterSzabó, Szilárd2023-08-102023-08-102024Remote Sensing in Ecology and Conservation. -10 : 2 (2024), p. 203-219. -Remote Sens Ecol Conserv. - 2056-3485. - 2056-34852056-3485https://hdl.handle.net/2437/358131Deep learning-based training data augmentation combined with post-classification improves the classification accuracy for dominant and scattered invasive forest tree speciesfolyóiratcikkopen access articlehttps://ebib.lib.unideb.hu/ebib/CorvinaWeb?action=cclfind&resultview=long&ccltext=idno+BIBFORM113915TermészettudományokFöldtudományokhttps://zslpublications.onlinelibrary.wiley.com/doi/10.1002/rse2.365http://dx.doi.org/10.1002/rse2.3652023-08-1000104450970000185167334773