空间目标匹配在“天地图·福建”道路数据融合中的应用

数据融合是"天地图·福建"建设的最重要内容之一,每年都会进行1次,其成果是"天地图·福建"电子地图等产品的主要数据源。由于道路数据来源比较多,不同来源的数据之间的变化需要人工提取,导致数据融合耗时费力。本文引入空间目标匹配来提取不同来源道路数据的变化信息,分别使用不同比例尺和相似比例尺的道路数据进行了两次实验,不同比例尺道路匹配精度达93.3%,相似比例尺道路匹配精度达99.4%。空间目标匹配能有效解决属性不一致性问题,提高道路数据融合的效率。

Application of Spatial Objects Matching in "Tianditu·Fujian" Road Data Fusion

Data fusion is one of the most important works of "Tianditu·Fujian" construction, which is carried out once a year. The result of data fusion is the main data source for Tianditu map and other products. For the diversity of data source, the extract changes of the road data are from different source manually, the data fusion is a time-consuming and laborious work. In this paper, spatial object matching was used to extract changes of road data from different sources, and two experiments were carried out by using the road data of different scale and similar scale. The matching accuracy of the two experiments were 93.3% and 99.4% respectively. Spatial objects matching can effectively solve the problem of attribute inconsistency and improve the efficiency of road data fusion.