摘要
提出一种基于POI与道路间语义关联的城市POI与道路网集成方法。首先利用POI的路名信息构建POI语义连接图,并识别和简化道路交叉口结构;然后结合POI与交叉点的连接路名信息进行POI与路网的特征点匹配;最后通过迭代方式实现POI与路网数据的位置集成。实验表明,本文方法能够将偏差较大的POI有效集成到道路网中,保证POI与导航路网间相对位置的准确性。
The paper proposes a novel method for integrating urban POI and road networks based on semantic association. The proposed method utilizes semantic information involved in each POI point and road segment to construct a POI semantic connectivity graph which re- presents the similar structural patterns with road network. Then the paper recognizes and simplifies road junctions so as to record the correct position and connected road names of each junction. After that, the matching feature points between POI and road data can be found by comparing the connected road names of POI and road junction. At last, an iterative process is implemented to geometrically integrate two heterogeneous data sets of POI and road net- work. The experimental results in Wuhan show that our method can effectively match POI points to road networks, and ensure the relatively positional relations between POI points and the neighboring roads.
出处
《武汉大学学报（信息科学版）》
EI
CSCD
北大核心
2013年第10期1229-1233,共5页
Geomatics and Information Science of Wuhan University
基金
国家863计划资助项目(2012AA12A211)
国家教育部博士研究生学术新人奖资助项目(5052012619001
5052011619019)
中央高校基本科研业务费专项资金资助项目(201161902020015)
中科院地理所资源与环境信息工程国家重点实验室重点资助项目(2010KF0001SA)
关键词
兴趣点
道路网
语义关联
语义连接图
数据集成
POI
road network
semantic association
semantic connectivity graph
data integration
作者简介
第一作者简介：张云菲，博士生，主要研究方向为多源空间数据集成与更新。E—mail：zyfwhu@whu．edu．cn
