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Surface Defect-Extended BIM Generation Leveraging UAV Images and Deep Learning.

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第一作者： Lei,Yang

第一单位： Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen 518034, China.;School of Transportation and Civil Engineering, Nantong University, Nantong 226019, China.

作者： Lei,Yang ^[1] ; Keju,Liu ^[2] ; Ruisi,Ou ^[2] ; Peng,Qian ^[3] ; Yunjie,Wu ^[4] ; Zhuang,Tian ^[4] ; Changping,Zhu ^[5] ; Sining,Feng ^[5] ; Fan,Yang ^[6]

作者单位： Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen 518034, China.;School of Transportation and Civil Engineering, Nantong University, Nantong 226019, China. ^[1] Nantong Key Laboratory of Spatial Information Technology R&D and Application, Nantong University, Nantong 226019, China. ^[2] School of Transportation and Civil Engineering, Nantong University, Nantong 226019, China.;College of Geographic Science, Nantong University, Nantong 226019, China. ^[3] School of Transportation and Civil Engineering, Nantong University, Nantong 226019, China. ^[4] College of Geographic Science, Nantong University, Nantong 226019, China. ^[5] Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen 518034, China.;Nantong Key Laboratory of Spatial Information Technology R&D and Application, Nantong University, Nantong 226019, China.;College of Geographic Science, Nantong University, Nantong 226019, China. ^[6]

关键词 BIM UAV deep learning surface defect detection texture mapping

DOI 10.3390/s24134151

PMID 39000929

发布时间 2024-07-15

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