面向空间关联的多源矢量数据空间实体匹配方法

Spatial entities matching technology of multi-source spatial vector data for spatial association

针对利用几何匹配技术建立多源数据间的映射关联关系这一空间关联领域的热点,该文提出面向空间关联的多源矢量数据空间实体匹配方法,通过对点、线、面实体进行几何匹配,得到多源矢量数据空间实体间的映射关系,进而建立起多源矢量数据间的空间关联。此外,以深圳市标准导航数据与深圳市开放街道地图(OSM)数据为例进行了实验。实验结果表明,阈值的选取对匹配精度有很大影响,当阈值选取合适时,该文算法能较为有效地进行点、线、面实体间的几何匹配,从而建立起多源矢量数据空间实体间的关联关系,其精度及正确率较高,具有较强的实用性。

Aiming at a research hotspot in the field of spatial association,using geometric matching technology to establish mapping association relation between multi-source data,spatial entities of multi-source vector data matching method for spatial association was proposed,by geometric matching between point,line and area entities,the mapping relation between spatial entities of multi-source data was obtained,and therefore,spatial association between multi-source vector data was established. Besides,standard navigation data and open street map(OSM) data of Shenzhen province were taken as examples to test. The result of the experiment showed that the selection of threshold had a great influence of matching accuracy. When the threshold was selected properly,algorithm in this paper could match point entities,line entities and area entities effectively,and thus establish association relation between spatial entities of multi-source vector data,the precision and accuracy of which was high and it was practical.