用比例尺1:1万的道路数据缩编更新比例尺1:5万的相应数据,需要建立不同尺度、不同时态的道路目标间的匹配关系,以提取变化数据进行更新。通过分析道路目标间存在的分解、基本以及抽象的三个匹配层次,利用缓冲区分析和拓扑关系等手段开发了系列算法,进而完成了各目标间的匹配。实验表明,该匹配方法正确率高,实用性强,能满足缩编更新道路数据的要求。
It is one of the important ways for GIS data updating based on map generalization. The critical first step in this way is to identify the correspondences between maps with the same area and to detect the updates. Matching roads for this purpose is studied in this paper. For matching of objects between roads, three matching levels, i.e. the decomposed level,basic level and abstracted level are discovered. Based on the order relationship of this three matching levels, matching of objects are accomplished by a set of algorithms developed. The results of the experiment for matching roads at scale 1 : 10 000 and 1 : 50 000 show that this method can obtain higher correct rate and meet requirement of updating.