摘要
高质量点云是城市三维建模的重要数据支撑。作为两类主要的点云数据,视觉与激光点云由于测量机理不同,在不同类别的目标表面上存在结构、精度上的诸多差异。本文结合三维建模的需求,从完整度、一致性和几何精度三个方面设计定量评价指标体系,并进一步建立归一化的综合差异指标。由此通过对两类点云之间差异的定量化描述,建立复合点云三维模型生产的适用性判断标准。同时,本文利用实地采集的城市场景数据验证了该指标体系的有效性,为数字城市建设方案的分析和质量评价提供重要的理论和应用参照。
High-quality point cloud is an important data support for creating 3D city models. Vision and laser point cloud are two main point cloud data. Owing to the different measuring principles, there are differences in structure and accuracy between these two types of point cloud. Based on the requirements of 3D modeling, this paper presents the quantitative index system and normalized difference index from three aspects: integrity, consistency and geometric accuracy. This paper further establishes judgement standard on the suitability of 3D modeling of composite point cloud and indicates the validity of the index system through city data gathered. This paper provides theoretical and applied references for the analysis and quality evaluation of digital city construction.
作者
刘春
郭凯莹
吴杭彬
Liu Chun;Guo Kaiying;Wu Hangbin(College of Surveying and Geo-informatics,Tongji University Shanghai 200092,China)
出处
《工程勘察》
2019年第4期49-54,共6页
Geotechnical Investigation & Surveying
基金
国家自然科学基金项目(41771481)
关键词
视觉点云
激光点云
差异量化分析
vision point cloud
laser point cloud
quantitative difference analysis
作者简介
刘春(1973-),男(汉族),江苏海门人,博±,教授;通讯作者:郭凯莹,E-mail:guoky@tongji.edu.cn.
