UAV-Based Detection of Rock Mass Instabilities Using DBSCAN and 3D Region Growing Algorithms

This study presents an unmanned aerial vehicle (UAV) photogrammetry system that integrates DBSCAN clustering and 3D region growing algorithms to detect unstable rocks on high-angle slopes (50°–80°), addressing critical safety challenges in geotechnical monitoring. The system was applied at China’s Y...

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Vydáno v:	Geotechnical and geological engineering Ročník 43; číslo 6; s. 295
Hlavní autoři:	Chen, Na, Hu, Min, Xiao, Henglin, Li, Yahu, Hou, Zeng
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Cham Springer International Publishing 01.08.2025 Springer Nature B.V
Témata:	Accuracy Aerial photography Algorithms Alpha shapes Automation Blasting Civil Engineering Clustering Data collection Data processing Deep learning Earth and Environmental Science Earth Sciences Efficiency Geology Geotechnical Engineering & Applied Earth Sciences Hydroelectric power Hydroelectric power stations Hydrogeology Lithology Measurement techniques Monitoring Original Paper Photogrammetry Quantitative analysis Risk reduction Rock Rock masses Rocks Safety factors Simulation Slope stability Terrestrial Pollution Unmanned aerial vehicles Waste Management/Waste Technology Intelligent identification Point cloud Unmanned aerial vehicle 3D-region growing algorithm Unstable rock masses
ISSN:	0960-3182, 1573-1529
On-line přístup:	Získat plný text
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