一种基于地理格网的三维模型数据统一表达方法
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摘要
针对三维地理场景中异构三维模型数据统一表达问题,提出了一种基于地理格网的三维模型数据统一表达方法。该方法首先构建覆盖测区的地理格网模型,以此作为异构三维模型数据统一组织的空间基准。其次,建立三维模型数据与地理格网单元的映射关系。在此基础上,设计了一种基于XML的三维模型数据统一描述规则,从数据属性、空间范围、空间关系等方面对异构三维模型数据进行统一描述,将异构三维模型数据规划在地理格网的统一管理中。最后,采用山西省某体育馆数据进行试验分析,验证了本文方法的有效性。
This paper proposes a unified representation approach for 3 D models based on geographic grid to represent heterogeneous 3 D models in geographic scenes. Firstly, a geographic grid model is developed to cover the research area and works as a spatial framework for unified organization of heterogeneous 3 D models. Then,the mapping relationships between 3 D models and geographic grid cells are established. Based on which, a unified description rule for 3 D models is designed using XML to include heterogeneous 3 D models to the unified management of geographic grids. Last but not least, the approach has been applied to a gymnasium in Shanxi Province and results indicate that this approach is feasible.
This paper proposes a unified representation approach for 3 D models based on geographic grid to represent heterogeneous 3 D models in geographic scenes. Firstly, a geographic grid model is developed to cover the research area and works as a spatial framework for unified organization of heterogeneous 3 D models. Then,the mapping relationships between 3 D models and geographic grid cells are established. Based on which, a unified description rule for 3 D models is designed using XML to include heterogeneous 3 D models to the unified management of geographic grids. Last but not least, the approach has been applied to a gymnasium in Shanxi Province and results indicate that this approach is feasible.
引文
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[2]闫利,费亮,叶志云,等.大范围倾斜多视影像连接点自动提取的区域网平差法[J].测绘学报,2016,45(3):310-317.
[3]童礼华,程亮,李满春,等.建筑轮廓的车载和航空LiDAR数据配准[J].测绘学报,2013,42(5):699-706.
[4]Iwaszczuk D,Stilla U,Iwaszczuk D,et al.Camera Pose Refinement by Matching Uncertain 3D Building Models with Thermal Infrared Image Sequences for High Quality Texture Extraction[J].ISPRS Journal of Photogrammetry&Remote Sensing,2017,132:33-47.
[5]梁福逊,杨必胜,黄荣刚,等.基于多源点云的建筑物立面太阳能潜力估计[J].测绘学报,2018,47(2):225-233.
[6]Saeedi S,Liang S,Graham D,et al.Overview of the OGC CDB Standard for 3D Synthetic Environment Modeling and Simulation[J].ISPRS International Journal of GeoInformation,2017,6(10):306.
[7]Elmekawy M,Anders?stman,Hijazi I.A Unified Building Model for 3D Urban GIS[J].ISPRS International Journal of Geo-Information,2012,1(2):120-145.
[8]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.
[9]Li L,Luo F,Zhu H,et al.A Two-level Topological Model for 3D Features in CityGML[J].Computers Environment&Urban Systems,2016,59:11-24.
[10]Yang B,Huang R,Li J,et al.Automated Reconstruction of Building Lo Ds from Airborne Li DAR Point Clouds Using an Improved Morphological Scale Space[J].Remote Sensing,2016,9(1):14.
[11]Martinez-Rubi O,Kleijn M D,Verhoeven S,et al.Using Modular 3D Digital Earth Applications Based on Point Clouds for the Study of Complex Sites[J].International Journal of Digital Earth,2016,9(12):1 135-1 152.
[12]Wu B,Tang S,Zhu Q,et al.Geometric Integration of High-resolution Satellite Imagery and Airborne LiDAR Data for Improved Geopositioning Accuracy in Metropolitan Areas[J].ISPRS Journal of Photogrammetry&Remote Sensing,2015,109(4):139-151.
[13]Adams B.Wāhi,A Discrete Global Grid Gazetteer Built Using Linked Open Data[J].International Journal of Digital Earth,2017,10(5):490-503.
[14]Bo H G,Wu L X,Yu J Q,et al.Rapid Visualization of Global Image and Dem Based on SDOG-ESSG[J].ISPRS-International Archives of the Photogrammetry,2013,40(4):101-105.
[15]Zhou M,Chen J,Gong J.A Virtual Globe-based Vector Data Model:Quaternary Quadrangle Vector Tile Model[J].International Journal of Digital Earth,2016,9(3):230-251.
[16]周成虎,欧阳,马廷.地理格网模型研究进展[J].地理科学进展,2009,28(5):657-662.
[17]杨敏,艾廷华,卢威,等.自发地理信息兴趣点数据在线综合与多尺度可视化方法[J].测绘学报,2015,44(2):228-234.
[18]中华人民共和国国家质量监督检验检疫总局,中国国家标准化管理委员会.GB/T 12409-2009地理格网[S].北京:中国标准出版社,2009.