以居民地为例,通过求较小比例尺面目标的最小外接矩形(MBR),将与该MBR交集非空的较大比例尺面目标进行分析判断,构建候选匹配集。在此基础上,通过分析各匹配模式的特点,制定相应的判断规则,提出了较为完整、统一的适用于多尺度矢量空间面目标的几何匹配解决方案。实验结果证明了该方法的有效性和实用性。
Object matching plays a key role in data integration and updating between multi-scale maps.It is implemented based on the similarity of geometry,topology and semantic between multi-scale objects.There are six matching modes between area objects from larger-scale to smaller-scale maps,namely 1∶0,1∶1,0∶1,1∶M,N∶1 and N∶M.Therefore,taking residential data as example,a common geometric matching method is proposed for multi-scale vector area objects.This method constructs candidate matching set by taking all larger-scale area objects into account,which have an intersection with the minimum bounding rectangle(MBR) of a smaller-scale area object.By analyzing the characteristics of all matching modes,the corresponding rules are made to identify six matching modes mentioned above from each other.The experimental results show that these rules work properly.