With the rapid development of research fields such as smart city, intelligent navigation and automatic drive, the problem as to how to quickly achieve three dimensional space information of city buildings and build a high-precision 3D detailed model become a key problem. Based on the 2.5D features of airborne and vehicle-mounted LiDAR data, the authors established a technical scheme to generate 3D detailed model based on data integration with the using of 2.5D dual-contour method. The research shows that the method can express the details of the facade, such as the window and balcony, and has the advantages of simpleness, high efficiency and full automation.
闫利, 李瑶, 谢洪. 基于机载与车载LiDAR数据的LoD3城市建筑物模型自动重建[J]. 国土资源遥感, 2018, 30(4): 97-101.
Li YAN, Yao LI, Hong XIE. Automatic reconstruction of LoD3 city building model based on airborne and vehicle-mounted LiDAR data. Remote Sensing for Land & Resources, 2018, 30(4): 97-101.
Yang B S, Wei Z, Li Q Q , et al. A classification-oriented method of feature image generation for vehicle-borne laser scanning point clouds[J]. Acta Geodaetica et Cartographica Sinica, 2010,39(5):540-545.
[4]
Donkers S, Ledoux H, Zhao J , et al. Automatic conversion of IFC datasets to geometrically and semantically correct CityGML LOD3 buildings[J]. Transactions in GIS, 2015,20(4):547-569.
doi: 10.1111/tgis.12162
[5]
Musialski P, Wonka P, Aliaga D G , et al. A survey of urban reconstruction[J]. Computer Graphics Forum, 2013,32(6):146-177.
doi: 10.1111/cgf.12077
[6]
Wichmann A, Kada M. Joint simultaneous reconstruction of regularized building superstructures from low-density LiDAR data using ICP [C]//ISPRS Annals of Photogrammetry,Remote Sensing and Spatial Information Sciences.Prague:ISPRS, 2016: 371-378.
[7]
Yan J X, Jiang W S, Shan J. A global solution to topological reconstruction of building roof models from airborne LiDAR point clouds [C]//ISPRS Annals of Photogrammetry,Remote Sensing and Spatial Information Sciences.Prague:ISPRS, 2016: 379-386.
[8]
Xiong B . Reconstructing and Correcting 3D Building Models Using Roof Topology Graphs[D]. the Netherlands:ITC, 2014.
[9]
Zhou Q Y, Neumann U. 2.5D dual contouring:A robust approach to creating building models from aerial LiDAR point clouds [C]//European Conference on Computer Vision.Heraklion:ECCV, 2010: 115-128.
Gong J Y, Cui T T, Shan J , et al. A survey on facade modeling using LiDAR point clouds and image sequences collected by mobile mapping systems[J]. Geomatics and Information Science of Wuhan University, 2015,40(9):1137-1143.
Yang B S, Dong Z, Wei Z , et al. Extracting complex building facades from mobile laser scanning data[J]. Acta Geodaetica et Cartographica Sinica, 2013,42(3):411-417.
Cen Z Z . Research on the Building Facade Modeling Algorithm of the Vehicle-mounted Laser-point Cloud Data Based on Octree[D]. Beijing:Capital Normal University, 2014.
[13]
张志超 . 融合机载与地面LIDAR数据的建筑物三维重建研究[D]. 武汉:武汉大学, 2010.
Zhang Z C . Three-dimensional Reconstruction of Buildings with Airborne and Ground LIDAR Data[D]. Wuhan:Wuhan University, 2010.
Chen Y M . Three-dimensional Multi-view Reconstruction of the Building Model Based on Airborne and Vehicle-mounted LiDAR Data[D]. Nanjing:Nanjing University, 2015.
[15]
Zhang W, Qi J, Wan P , et al. An easy-to-use airborne LiDAR data filtering method based on cloth simulation[J]. Remote Sensing, 2016,8(6):501.
doi: 10.3390/rs8060501
[16]
Zhou Q Y, Neumann U. Fast and extensible building modeling from airborne LiDAR data [C]//ACM Sigspatial International Symposium on Advances in Geographic Information Systems.Irvine:DBLP, 2008: 7.
Peng R C, Dong J, Zheng Y D , et al. The efficiency comparison of methods between perpendicular distance and Douglas-Peucker in deleting redundant vertexes[J]. Bulletin of Surveying and Mapping, 2010,56(3):66-67,71.