顾及上下级空间关系相似性的道路网联动匹配方法

发布时间：2018-05-26 21:26

本文选题：联动匹配 + 空间关系　；参考：《测绘学报》2016年11期

【摘要】：现有道路网匹配方法中,大多利用道路自身结点和弧段特征进行匹配,而较少注意道路邻域要素在道路网匹配中的重要定位参考作用,从而影响匹配效率和正确率的进一步提高。针对上述问题,本文提出了一种顾及上下级空间关系相似性的道路网联动匹配方法,即模仿人在读图时通过特征地物和空间关联寻找目标地物的思维过程,将匹配看作是一种特征目标寻找、信息关联传递的推理过程。首先,运用Stroke技术将复杂道路网进行等级划分。其次,通过道路骨架关联关系树构建道路网联动匹配模型。最后,选取高等级骨干道路作为起始特征对象,计算道路间的上下级空间关系相似性,逐级迭代使匹配信息在道路网联动匹配模型中传递,从而得到匹配结果。试验表明,本文算法缩小了待匹配数据的搜索范围,能够有效提高匹配正确率和效率,尤其在数据位移较大、存在非系统性几何位置偏差的情况下优势明显。
[Abstract]:In the existing road network matching methods, most of them use the road node and arc feature to match, but less attention is paid to the important location reference role of the road neighborhood elements in road network matching. Thus, the matching efficiency and accuracy are further improved. In order to solve the above problems, this paper proposes a road network matching method which takes into account the similarity between upper and lower spatial relations, that is, imitating the thinking process of finding target objects by means of feature objects and spatial association while reading maps. Matching is regarded as a kind of reasoning process of feature target finding and information association transmission. Firstly, the complex road network is classified by Stroke technology. Secondly, the road network linkage matching model is constructed by the road skeleton correlation tree. Finally, the high-level backbone road is selected as the starting feature object, the similarity of the upper and lower spatial relations between roads is calculated, and the matching information is transmitted in the road network linkage matching model step by step, and the matching result is obtained. The experimental results show that the algorithm reduces the search range of the data to be matched and can effectively improve the accuracy and efficiency of the matching, especially in the case of large data displacement and the existence of non-systematic geometric position deviation.
【作者单位】：信息工程大学地理空间信息学院;
【基金】：国家自然科学基金(41171305;41571442)~~
【分类号】：P208

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