基于位置–语义模式构建多源数据融合的县级基础地理实体数据库

A County-Level Fundamental Geographic Entity Database Constructed Based on a Hierarchical Position-Semantic Model

摘要: 自然资源部出台多项政策和技术文件，部署推进新型基础测绘和实景三维中国建设。县级新型基础测绘体系实体数据库建设是其重要任务之一。本文以江苏省出台的相关技术标准为前提，探索了一套县级基础地理实体转换的方法：以大比例尺地形要素为本底库，基于位置–语义模式，融合多源矢量数据，充分利用各类存量数据的优势，避免了重复采集。实践中借助python提高转换的自动化程度，从而提升生产效率。

Abstract: A series of policies and technical documents were released by the National Resources Bureau, calling for significant progress in advanced basic surveying (novel) and Three-Dimensional China construction in reality. Constructing the entity database for a county-level novel basic surveying system is one of its important tasks. This paper explores a method for converting base geographic entities using Jiangsu Province’s relevant technical standards as a premise: taking high-resolution terrain elements as the fundamental repository, utilizing layer relationships based on position-semantic modeling, fusing multi-source vector data, optimally utilizing the advantages of heterogeneous data sources to avoid redundancy in data collection. In practice, Python was utilized to enhance automation levels, thereby improving work efficiency for data conversion.