20.500.12556/DKUM-94284 Razpoznava vinogradov iz podatkov LiDAR Identifying vineyards from LiDAR data Tehnologija LiDAR človeku omogoča nove načine odkrivanja svojega okolja, v katerem se skrivajo arheološki ostanki naših prednikov in namigi k optimizaciji vsakdanjika. V magistrskem delu smo raziskovali pot, ki je vodila do daljinskega zaznanja, in rešitve, ki so omogočile njeno raziskovanje. Algoritme iskanja po drevesih in gručanja smo vgradili v tri rešitve, ki so iz podatkov LiDAR, zajetih z letalnikom in letalom, poskušale razpoznati linije vinske trte. Zagoni rešitev so temeljili na cevovodu, ki je izvorne .laz datoteke vodil do ciljnih oblik. Izplene zagonov smo predstavili v okviru njihove statistične analize, s katero smo izpostavili prednosti in slabosti posamičnega pristopa. LiDAR technology has given humanity new ways to explore its environment. The latter boasts the archaeological remnants of our ancestors and clues for optimizing everyday processes. Our work involved exploring the path that led to remote sensing and the solutions that enabled its development. Our three implemented solutions were comprised of search tree and grouping algorithms, whose LiDAR input data was derived from drone and plane flights. The implemented solutions, which were run through a pipeline that transformed the original .laz files into their target forms, attempted to detect grapevine rows. The results of said processes were presented in light of their statistical analysis, which featured the pros and cons of each solution. LiDAR DBSCAN RANSAC vinogradništvo daljinsko zaznavanje LiDAR DBSCAN RANSAC viticulture remote sensing true true false [Ž. T. Šprajc] Slovenski jezik Angleški jezik Magistrsko delo/naloga 2025-08-12 16:21:48 2025-09-04 13:02:59 2025-10-23 09:38:12 0000-00-00 00:00:00 2025 0 Maribor 0 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 004.932:528.8.044.6(043.2) 254402563 MAG_Sprajc_Zan_Tomaz_2025.pdf MAG_Sprajc_Zan_Tomaz_2025.pdf 1 7066DFE2A10E9252C359105DC2320189 61ad7985330aecc8c145a2111310c312003a6c67213c8451798abb7cfb0a91d4 4d80b050-788a-11f0-a457-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=195288 Fakulteta za elektrotehniko, računalništvo in informatiko 0 0 0