部件级三维实体融合匹配策略研究与应用  

Research and Application of Component Level 3DSolid Fusion Matching Strategy

作　　者：于双 YU Shuang(Shanghai Surveying and Mapping Institute,Shanghai 200063,China;Key Laboratory of Spatial-Temporal Big Data Analysis and Application of Natural Resources in Megacities,Ministry of Natural Resources,Shanghai 200063,China)

机构地区：[1]上海市测绘院,上海200063 [2]自然资源部超大城市自然资源时空大数据分析应用重点实验室,上海200063

出　　处：《现代测绘》2024年第5期39-43,共5页Modern Surveying and Mapping

摘　　要：新型基础测绘、实景三维建设通过构建部件级三维实体为城市精细化治理提供了更加精细的时空基底,然而构建的三维实体模型如何与业务管理信息精确地融合匹配是当前工作中普遍存在的一个难点。围绕城市网格化管理的实际需求,研究了部件级三维实体融合匹配的策略与方法。首先,根据三维实体模型和网格化管理数据的分类信息语义相似度进行粗匹配,梳理了数据间的相互映射关系,缩小匹配范围,筛选出候选匹配集;其次,通过计算Hausdorff距离和面积重叠比的方法进行精确匹配;最后,对方法的有效性和准确性进行验证分析。结果表明,融合匹配正确率为83.2%,可为构建“要素级”时空基底提供一种可靠的数据融合匹配策略。The construction of new basic surveying and realistic 3Dconstruction provides a more refined spatiotemporal basis for urban fine governance by constructing component level 3Dentities.However,how to accurately integrate and match the constructed 3Dentity models with business management information is a common challenge in current work.This article focuses on the practical needs of urban grid management and studies the strategies and methods of component level 3Dentity fusion matching.Firstly,based on the semantic similarity of classification information between the 3Dentity model and grid management data,rough matching is carried out,and the mapping relationship between data is sorted out to narrow the matching range and select candidate matching sets.Secondly,precise matching is performed by calculating the Hausdorff distance and area overlap ratio.Finally,the effectiveness and accuracy of the method are verified and analyzed.The fusion matching accuracy of this method is 83.2%,which provides a reliable data fusion matching strategy for constructing“feature level”spatiotemporal bases.

关 键 词：HAUSDORFF距离 融合匹配 语义相似度 新型基础测绘 网格化管理 

分 类 号：P208[天文地球—地图制图学与地理信息工程] TP391.41[天文地球—测绘科学与技术]