基于实体匹配技术的点状城区要素融合更新

Integration and Update of Urban Point Elements Based on Entity Matching technology

研究并搭建FME模板,解决了高德与地理国情监测两类异源矢量空间数据的匹配融合问题。以溧阳城区为例,实现了学校、居民小区、医院、村居委会等四类典型点状城市要素数据的融合更新与结果验证。实验结果表明,网络获取的POI数据对于地理国情监测中部分典型点状城市要素更新有一定参考意义,可在一定程度上减少内业更新、外业核查的工作量。

Aiming at the matching and integration of heterologous vector spatial data of AutoNavi data and geographical conditions monitoring data,we studied and built FME template based on the point entity matching technology of multi-feature combination.Then,we realized the inte-gration and update of four typical urban point element data of school,community,hospital and village neighborhood committee in Liyang urban area,and verified the results.The experimental results show that the POI information obtained from the network has a certain reference signifi-cance for the some typical urban point elements update in the geographical conditions monitoring,and can reduce the workload of indoor work and field inspection to a certain extent.