摘要
为满足上海市网格化管理部件数据的生产和更新需求,基于目前开展的道路全息测绘和管线探测工作,通过分析其中不同来源城市网格化管理部件的几何相似度和语义相似度,提出多源部件数据的变化匹配算法和更新方案,并选取实验区对网格化管理部件进行实测,进而验证了算法的有效性。实验结果表明,利用本文提出的变化匹配策略和更新方案,可以有效减少城市网格化管理部件的重复采集,可充分发挥测绘成果的共享价值。
To meet the production and update needs of Shanghai’s grid management component data,by analyzing the geometric similarity and the semantic similarity between road holography and pipeline detection,we proposed a change recognition algorithm and an update scheme for multi-source component data,and selected a test area to measure grid management components,which verified the effectiveness of algorithm and update scheme.The experimental results indicate that using the change matching strategy and update scheme described in this article can effectively reduce the repeated collection of urban grid management components and fully leverage the shared value of surveying and mapping results.
作者
陈功亮
CHEN Gongliang(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)
出处
《地理空间信息》
2024年第10期87-90,共4页
Geospatial Information
基金
上海市2021年度社会发展科技攻关资助项目(21DZ1204100)。
关键词
网格化管理部件
多源数据
变化匹配
实验分析
grid management component
multi-source data
change matching
experimental analysis