[1] BILLEN R, MÉTRAL C, FALQUET G, et al. Challenges of semantic 3D city models:a contribution of the COST Research Action TU0801[J]. International Journal of 3-D Information Modeling, 2015, 4(2):68-76. [2] BILLEN R, CUTTING-DECELLE A F, MARINA O, et al. 3D city models and urban information:current issues and perspectives[M]. Cedex (France):EDP Sciences, 2014. [3] MCFADDEN C. 19 of the biggest city models in the world[EB/OL]. (2018)[2019-10-29]. https://interestingengineering.com/19-of-the-biggest-city-models-in-the-world. [4] HEO J, JEONG S, PARK H K, et al. Productive high-complexity 3D city modeling with point clouds collected from terrestrial LiDAR[J]. Computers, Environment and Urban Systems, 2013, 41:26-38. [5] DÖLLNER J, BAUMANN K, BUCHHOLZ H. Virtual 3D city models as foundation of complex urban information spaces[C]//Proceedings of CORP 2006 and Geomultimedia. Vienna, Austria:[s.n.], 2006:107-112. [6] JULIN A, JAALAMA K, VIRTANEN J P, et al. Characterizing 3d city modeling projects:towards a harmonized interoperable system[J]. ISPRS International Journal of Geo-Information, 2018, 7(2):55. [7] BILJECKI F, STOTER J, LEDOUX H, et al. Applications of 3D city models:state of the art review[J]. ISPRS International Journal of Geo-Information, 2015, 4(4):2842-2889. [8] QUATTRINI R, PIERDICCA R, MORBIDONI C. Knowledge-based data enrichment for HBIM:exploring high-quality models using the semantic-web[J]. Journal of cultural heritage, 2017, 28:129-139. [9] Planet. Daily satellite imagery and insights[EB/OL]. (2019)[2019-11-05]. https://www.planet.com/. [10] 李德仁, 刘立坤, 邵振峰. 集成倾斜航空摄影测量和地面移动测量技术的城市环境监测[J]. 武汉大学学报(信息科学版), 2015, 40(4):427-435, 443. LI Deren, LIU Likun, SHAO Zhenfeng. An integration of aerial oblique photogrammetry and mobile mapping system for urban geographical conditions monitoring[J]. Geomatics and Information Science of Wuhan University, 2015, 40(4):427-435, 443. [11] ZHANG Liqiang, LI Zhuqiang, LI Anjian, et al. Large-scale urban point cloud labeling and reconstruction[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2018, 138:86-100. [12] TOMLJENOVIC I, HÖFLE B, TIEDE D, et al. Building extraction from airborne laser scanning data:an analysis of the state of the art[J]. Remote Sensing, 2015, 7(4):3826-3862. [13] STOKER J M, ABDULLAH Q A, NAYEGANDHI A, et al. Evaluation of single photon and Geiger mode LiDAR for the 3D elevation program[J]. Remote Sensing, 2016, 8(9):767. [14] WANG Yanjun, CHEN Qi, ZHU Qing, et al. A survey of mobile laser scanning applications and key techniques over urban areas[J]. Remote Sensing, 2019, 11(13):1540. [15] LIANG Xinlian, KUKKO A, KAARTINEN H, et al. Possibilities of a personal laser scanning system for forest mapping and ecosystem services[J]. Sensors, 2014, 14(1):1228-1248. [16] NOCERINO E, MENNA F, REMONDINO F, et al. Investigation of indoor and outdoor performance of two portable mobile mapping systems[C]//Proceedings of the SPIE 10332, Videometrics, Range Imaging, and Applications XIV. Munich, Germany:SPIE, 2017:103320I. [17] GOODCHILD M F. Citizens as sensors:the world of volunteered geography[J]. GeoJournal, 2007, 69(4):211-221. [18] OVER M, SCHILLING A, NEUBAUER S, et al. Generating web-based 3D city models from OpenStreetMap:the current situation in Germany[J]. Computers, Environment and Urban Systems, 2010, 34(6):496-507. [19] GOETZ M. Towards generating highly detailed 3D CityGML models from OpenStreetMap[J]. International Journal of Geographical Information Science, 2013, 27(5):845-865. [20] HADIMLIOGLU I A, KING S A. City maker:reconstruction of cities from OpenStreetMap data for environmental visualization and simulations[J]. ISPRS International Journal of Geo-Information, 2019, 8(7):298. [21] 单杰. 从专业遥感到大众遥感[J]. 测绘学报, 2017, 46(10):1434-1446. DOI:10.11947/j.AGCS.2017.20170361. SHAN Jie. Remote sensing:from trained professionals to general public[J]. Acta Geodaetica et Cartographica Sinica, 2017, 46(10):1434-1446. DOI:10.11947/j.AGCS.2017.20170361. [22] SIMO-SERRA E, TRULLS E, FERRAZ L, et al. Discriminative learning of deep convolutional feature point descriptors[C]//Proceedings of the IEEE International Conference on Computer Vision. Santiago, Chile:IEEE, 2015:118-126. [23] YI K M, TRULLS E, LEPETIT V, et al. LIFT:learned invariant feature transform[C]//Proceedings of the 14th European Conference on Computer Vision. Amsterdam, The Netherlands:Springer, 2016:467-483. [24] MELEKHOV I, TIULPIN A, SATTLER T, et al. DGC-Net:dense geometric correspondence network[C]//Proceedings of 2019 IEEE Winter Conference on Applications of Computer Vision. Waikoloa Village:IEEE, 2019:1034-1042. [25] 单杰. 光束法平差简史与概要[J]. 武汉大学学报(信息科学版), 2018, 43(12):1797-1810. SHAN Jie. A brief history and essentials of bundle adjustment[J]. Geomatics and Information Science of Wuhan University, 2018, 43(12):1797-1810. [26] 杜建丽, 陈动, 张振鑫, 等. 建筑点云几何模型重建方法研究进展[J]. 遥感学报, 2019, 23(3):374-391. DU Jianli, CHEN Dong, ZHANG Zhenxin, et al. Research progress of building reconstruction via airborne point clouds[J]. Journal of Remote Sensing, 2019, 23(3):374-391. [27] AMENTA N, BERN M, KAMVYSSELIS M. A New Voronoi-based surface reconstruction algorithm[C]//Proceedings of the 25th Annual Conference on Computer Graphics and Interactive Techniques. Orlando, FL:ACM, 1998:415-421. [28] KAZHDAN M, HOPPE H. Screened Poisson surface reconstruction[J]. ACM Transactions on Graphics, 2013, 32(3):Article No.29. [29] XU Bo, JIANG Wanshou, SHAN Jie, et al. Investigation on the Weighted RANSAC approaches for building roof plane segmentation from LiDAR point clouds[J]. Remote Sensing, 2016, 8(1):5. [30] QI CHARLES R, SU Hao, KAICHUN M, et al. Pointnet:deep learning on point sets for 3d classification and segmentation[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. Honolulu, Hawaii:IEEE, 2017:77-85. [31] WANG Ruisheng, PEETHAMBARAN J, CHEN Dong. LiDAR point clouds to 3D urban models:a review[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018, 11(2):606-627. [32] ZENG Huayi, WU Jiaye, FURUKAWA Y. Neural procedural reconstruction for residential buildings[C]//Proceedings of the 15th European Conference on Computer Vision. Munich, Germany:Springer, 2018:759-775. [33] LEOTTA M J, LONG Chengjiang, JACQUET B, et al. Urban semantic 3D reconstruction from Multiview satellite imagery[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops. Long Beach, CA:IEEE, 2019:1-10. [34] YANG B, LEE J. Improving accuracy of automated 3D building models for smart cities[J]. International Journal of Digital Earth, 2019, 12(2):209-227. [35] 张春森, 张卫龙, 郭丙轩, 等. 倾斜影像的三维纹理快速重建[J]. 测绘学报, 2015, 44(7):782-790. DOI:10.11947/j.AGCS.2015.20140341. ZHANG Chunsen, ZHANG Weilong, GUO Bingxuan, et al. Rapidly 3D texture reconstruction based on oblique photography[J]. Acta Geodaetica et Cartographica Sinica, 2015, 44(7):782-790. DOI:10.11947/j.AGCS.2015.20140341. [36] LEE J, YANG B. Developing an optimized texture mapping for photorealistic 3D buildings[J]. Transactions in GIS, 2019, 23(1):1-21. [37] 李德仁. 论地球空间信息的3维可视化:基于图形还是基于影像[J]. 测绘学报, 2010, 39(2):111-114. LI Deren. 3D visualization of geospatial information:graphics based or imagery based[J]. Acta Geodaetica et Cartographica Sinica, 2010, 39(2):111-114. [38] ABAYOWA B O, YILMAZ A, HARDIE R C. Automatic registration of optical aerial imagery to a LiDAR point cloud for generation of city models[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2015, 106:68-81. [39] WEN Xuedong, XIE Hong, LIU Hua, et al. Accurate reconstruction of the LoD3 building model by integrating multi-source point clouds and oblique remote sensing imagery[J]. ISPRS International Journal of Geo-Information, 2019, 8(3):135. [40] WU Bo, XIE Linfu, HU Han, et al. Integration of aerial oblique imagery and terrestrial imagery for optimized 3D modeling in urban areas[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2018, 139:119-132. [41] PARISH Y I H, MVLLER P. Procedural modeling of cities[C]//Proceedings of the 28th Annual Conference on Computer Graphics and Interactive Techniques. Los Angeles:ACM, 2001:301-308. [42] KOLBE T H. BIM, CityGML, and related standardization[C]//Proceedings of 2012 Digital Landscape Architecture Conference, Bernburg/Dessau, Germany. 2012, 31. [43] CONSORTIUM W, OTHERS. X 3d international specification standards[R].[S.L]:Web 3D Consortium, 2005. [44] WILSON T. OGC®KML. Version 2.2. 0[R].[S.L]:Open Geospatial Consortium, 2008. [45] ARNAUD R, BARNES M C. COLLADA:sailing the gulf of 3D digital content creation[M].[S.L]:AK Peters/CRC Press, 2006. [46] GRÖGER G, KOLBE T H, NAGEL C, et al. OGC City Geography Markup Language (CityGML) encoding standard, version 2.0.0[R].[S.l.]:Open Geospatial Consortium, 2012. [47] Open Geospatial Consortium. OGCIndoorGML[S]. OGC 14-005r3, 2014. [48] LAAKSO M, KIVINIEMI A O. The IFC standard:a review of history, development, and standardization, information technology[J]. ITcon, 2012, 17(9):134-161. [49] GRÖGER G, PLVMER L. CityGML-interoperable semantic 3D city models[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2012, 71:12-33. [50] VAN DEN BRINK L, STOTER J, ZLATANOVA S. UML-based approach to developing a CityGML application domain extension[J]. Transactions in GIS, 2013, 17(6):920-942. [51] LI Lin, LUO Feng, ZHU Haihong, et al. A two-level topological model for 3D features in CityGML[J]. Computers, Environment and Urban Systems, 2016, 59:11-24. [52] KOLBE T H, BURGER B, CANTZLER B. CityGML goes to broadway[C]//Proceedings of the 55th Photogrammetric Week. Stuttgart, Germany:[s.n.], 2015:343-356. [53] DENG Yichuan, CHENG J C P, ANUMBA C. Mapping between BIM and 3D GIS in different levels of detail using schema mediation and instance comparison[J]. Automation in Construction, 2016, 67:1-21. [54] KOLBE T H. Representing and exchanging 3D city models with CityGML[C]//Proceedings of the 3rd International Workshop on 3D Geo-Information. Seoul, Korea:Springer, 2009:15-31. [55] BILJECKI F, LEDOUX H, STOTER J. An improved LOD specification for 3D building models[J]. Computers, Environment and Urban Systems, 2016, 59:25-37. [56] VAN DEN BRINK L, STOTER J, ZLATANOVA S. Establishing a national standard for 3D topographic data compliant to CityGML[J]. International Journal of Geographical Information Science, 2013, 27(1):92-113. [57] BILJECKI F, LEDOUX H, STOTER J, et al. The variants of an LOD of a 3D building model and their influence on spatial analyses[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2016, 116:42-54. [58] KADEN R, KOLBE T. City-Wide total energy demand estimation of buildings using semantic 3D city models and statistical data[C]//Proceedings of the ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Istanbul, Turkey, 2013:27-29. [59] KRVGER A, KOLBE T H. Building analysis for urban energy planning using key indicators on virtual 3D city models:the energy atlas Of Berlin[C]//Proceedings of the International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Melbourne, Australia, 2012:145-150. [60] AGUGIARO G, BENNER J, CIPRIANO P. The energy application domain extension for CityGML:enhancing interoperability for urban energy simulations[J]. Open Geospatial Data, Software and Standards, 2018, 3(2):1-30. [61] ISIKDAG U, ZLATANOVA S, UNDERWOOD J. A BIM-oriented model for supporting indoor navigation requirements[J]. Computers, environment and urban systems, 2013, 41:112-123. [62] CHEN L C, WU C H, SHEN T S, et al. The application of geometric network models and building information models in geospatial environments for fire-fighting simulations[J]. Computers, Environment and Urban Systems, 2014, 45:1-12. [63] AMIREBRAHIMI S, RAJABIFARD A, MENDIS P, et al. A framework for a microscale flood damage assessment and visualization for a building using BIM-GIS integration[J]. International Journal of Digital Earth, 2016, 9(4):363-386. [64] BILJECKI F, LEDOUX H, STOTER J, et al. The variants of an LOD of a 3D building model and their influence on spatial analyses[J]. ISPRS journal of photogrammetry and remote sensing, 2016, 116:42-54. [65] BOETERS R, OHORI K A, BILJECKI F, et al. Automatically enhancing CityGML LOD2 models with a corresponding indoor geometry[J]. International Journal of Geographical Information Science, 2015, 29(12):2248-2268. [66] GARLAND M, HECKBERT P S. Surface simplification using quadric error metrics[C]//Proceedings of the 24th Annual Conference on Computer Graphics and Interactive Techniques. Los Angeles, CA:ACM, 1997:209-216. [67] COHEN-STEINER D, ALLIEZ P, DESBRUN M. Variational shape approximation[C]//Proceedings of SIGGRAPH'04 ACM SIGGRAPH. Los Angeles, NY:ACM, 2004:905-914. [68] THIEMANN F, SESTER M. Segmentation of buildings for 3D-generalisation[C]//Proceedings of the ICA Workshop on generalization and multiple representation. Leicester, UK:[s.n.], 2004:2021. [69] FAN Hongchao, MENG Liqiu, JAHNKE M. Generalization of 3D buildings modelled by CityGML[M]//SESTER M, BERNARD L, PAELKE V. Advances in GIScience. Berlin Heidelberg:Springer, 2009:387-405. [70] YAO Zhihang, NAGEL C, KUNDE F, et al. 3DCityDB-a 3D geodatabase solution for the management, analysis, and visualization of semantic 3D city models based on CityGML[J]. Open Geospatial Data, Software and Standards, 2018, 3(1):5. [71] WANG Hao, PAN Yisha, LUO Xiaochun. Integration of BIM and GIS in sustainable built environment:a review and Bibliometric analysis[J]. Automation in Construction, 2019, 103:41-52. [72] EL-MEKAWY M, ÖSTMAN A. Semantic mapping:an ontology engineering method for integrating building models in IFC and CITYGML[C]//Proceedings of the 3rd ISDE Digital Earth Summit. Nessebar, Bulgaria:[s.n.], 2010:1-11. [73] EL-MEKAWY M, ÖSTMAN A, HIJAZI I. A unified building model for 3D urban GIS[J]. ISPRS International Journal of Geo-Information, 2012, 1(2):120-145. [74] DONKERS S, LEDOUX H, ZHAO Junqiao, et al. Automatic conversion of IFC datasets to geometrically and semantically correct CityGML LOD3 buildings[J]. Transactions in GIS, 2016, 20(4):547-569. [75] VAN BERLO L, LAAT R D. Integration of BIM and GIS:The development of the CityGMLGeoBIM extension[J]. Advances in 3D Geo-Information Sciences, 2011:211-225. [76] XU Xun, DING Lieyun, LUO Hanbin, et al. From building information modeling to city information modeling[J]. Journal of Information Technology in Construction, 2014, 19:292-307. [77] STOUFFS R, TAUSCHER H, BILJECKI F. Achieving complete and near-lossless conversion from IFC to CityGML[J]. ISPRS International Journal of Geo-Information, 2018, 7(9):355. [78] JUSUF S K, MOUSSEAU B, GODFROID G, et al. Path to an integrated modelling between IFC and CityGML for neighborhood scale modelling[J]. Urban Science, 2017, 1(3):25. [79] 3D geoinformation. Cities/regions around the world with open datasets[EB/OL].[2019-10-30]. https://3d.bk.tudelft.nl/opendata/. [80] DÖLLNER J, KOLBE T H, LIECKE F, et al. The virtual 3D city model of berlin-managing, integrating, and communicating complex urban information[C]//Proceedings of the 25th International Symposium on Urban Data Management. Aalborg, Denmark:[s.n.], 2006:1-13. [81] 李德仁. 展望大数据时代的地球空间信息学[J]. 测绘学报, 2016, 45(4):379-384. DOI:10.11947/j.AGCS.2016.20160057. LI Deren. Towards geo-spatial information science in big data era[J]. Acta Geodaetica et Cartographica Sinica, 2016, 45(4):379-384. DOI:10.11947/j.AGCS.2016.20160057. |