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001-es BibID:	BIBFORM121047
035-os BibID:	(Scopus)85192497181 (WoS)001217374700001
Első szerző:	Nagy Loránd Attila (geográfus)
Cím:	Improving Urban Mapping Accuracy: Investigating the Role of Data Acquisition Methods and SfM Processing Modes in UAS-Based Survey Through Explainable AI Metrics / Loránd Attila Nagy, Szilárd Szabó, Péter Burai, László Bertalan
Dátum:	2024
ISSN:	2509-8810 2509-8829
Megjegyzések:	In this study, we investigated the accuracy of surface models and orthophoto mosaics generated from images acquired using diferent data acquisition methods at diferent processing levels in two urban study areas with diferent characteristics. Experimental investigations employed single- and double-grid fight directions with nadir and tilted (60°) camera angles, alongside the Perimeter 3D method. Three processing levels (low, medium, and high) were applied using SfM software, resulting in 42 models. Ground truth data from RTK GNSS points and aerial LiDAR surveys were used to assess horizontal and vertical accuracies. For the horizontal accuracy test, neither the oblique camera angle nor the double grid resulted in an improvement in accuracy. In contrast, when examining the vertical accuracy, it was concluded that for several processing levels, the tilted camera angle yielded better results, and in these cases, the double grid also improved accuracy. Feature importance analysis revealed that, among the four variables, the data acquisition method was the most important factor afecting accuracy in two out of three cases.
Tárgyszavak:	Természettudományok Földtudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk UAS-SfM accuracy assessment data acquisition types oblique imaging flight directions
Megjelenés:	Journal of Geovisualization and Spatial Analysis. - 8 : 1 (2024). -
További szerzők:	Szabó Szilárd (1974-) (geográfus) Burai Péter (1975-) (távérzékelés) Bertalan László (1989-) (geográfus)
Pályázati támogatás:	K138079 Egyéb
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
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