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需求导向的三维建筑混合细节层次模型构建方法研究

Research on the construction method of demand-oriented Hybrid LOD modeling for 3D building model
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摘要 针对当前三维数字城市模拟应用中三维模型数据量大、冗余细节多、平台负载重等问题,从应用需求角度出发,提出了一种需求导向的三维建筑混合细节层次模型构建方法。该方法在OGC国际标准CityGML的LOD规定基础上进行扩展和优化,认为更优的LOD设计思路应以应用需求为导向并服务于应用,即根据模型局部对特定应用的重要性程度,采用“焦点+背景”的策略对三维建筑模型进行轻量化重构,旨在保证满足应用需求的同时降低模型细节冗余度和数据量。该方法为城市三维模型构建和应用提供了新的思路和方向,对推动三维数字城市发展、促进智慧城市和数字孪生城市的实现具有重要的理论和实践价值。 In view of the problems of large data volume,redundant details,and heavy platform load in current 3D digital city simulation applications,this article proposes a demand-driven 3D building hybrid detail level model construction method from the perspective of application requirements.The method expands and optimizes on the basis of the LOD regulations of the OGC international standard CityGML,and believes that a better LOD design idea should be application-oriented and serve the application.Based on the importance of model parts to specific applications,a“focus+context”strategy is adopted for lightweight reconstruction of 3D building model,aiming to ensure that the application requirements are met while reducing the redundancy and data volume of model details.This method provides new ideas and directions for urban 3D model modeling and application,and has important theoretical and practical value for promoting the development of 3D digital cities and facilitating the realization of smart cities and digital twin cities.
作者 汤磊 刘呈威 杨帆 苏飞 李伟 TANG Lei;LIU Chengwei;YANG Fan;SU Fei;LI Wei(Wuhan Natural Resources and Planning Information Center,Wuhan 430014,China;School of Geographical Science,Nantong University,Nantong,Jiangsu 226019,China;College of Surveying and Geo-Informatics,Shandong Jianzhu University,Jinan 250000,China;Faculty of Geomatics,Lanzhou Jiaotong University,Lanzhou 730070,China)
出处 《测绘科学》 CSCD 北大核心 2024年第5期189-199,共11页 Science of Surveying and Mapping
基金 国家自然科学基金项目(42001322) 住房和城乡建设部2022年科技示范工程项目(2022-S-066) 中国测绘科学研究院基本科研业务费项目(AR2111)
关键词 三维建筑模型 细节层次 需求导向 匹配度 组件 混合 3D building model level of detail demand oriented matching degree components hybrid
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