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城市地图数据库面实体匹配技术
引用本文:张桥平,李德仁,龚健雅.城市地图数据库面实体匹配技术[J].遥感学报,2004,8(2):107-112.
作者姓名:张桥平  李德仁  龚健雅
作者单位:1. 武汉大学遥感信息工程学院,湖北,武汉,430079
2. 武汉大学遥感信息工程学院,湖北,武汉,430079;武汉大学测绘遥感信息工程国家重点实验室,湖北,武汉,430079
3. 武汉大学测绘遥感信息工程国家重点实验室,湖北,武汉,430079
摘    要:同一地区不同来源地图数据库同名面实体的识别或匹配对空间数据库的集成与信息共享非常有意义。该文研究了城市地图数据库同名面实体匹配的有关问题 ,提出了基于模糊拓扑关系分类的面实体匹配方法 ,该方法充分考虑了源地图数据库的不确定性 ,能处理非一对一的匹配情况。匹配结果不仅可以作为城市地图数据库集成和信息共享的依据 ,还可以用来分析两个地图数据库之间的差异 ,进行变化检测与自动更新

关 键 词:地图数据库合并  实体匹配  形态距离  模糊拓扑关系
文章编号:1007-4619(2004)02-0107-06
收稿时间:2002/8/13 0:00:00
修稿时间:2002年8月13日

Areal Feature Matching among Urban Geographic Databases
ZHANG Qiao-ping,LI De-ren and GONG Jian-ya.Areal Feature Matching among Urban Geographic Databases[J].Journal of Remote Sensing,2004,8(2):107-112.
Authors:ZHANG Qiao-ping  LI De-ren and GONG Jian-ya
Abstract:This paper presents an idea to determinate the variant matching relationshinps among areal entities based on the overlay areas. Then a methodology to identify the counterpart elements based on the fuzzy classification of topological relationship is illustrated, which applies the concept of morphologic distance between areas introduced by Winter and the concept of fuzzy topological relationship theory. The resulted topological relationship between areas indicates the discre pancy between the considered areal features and also shows the degree of being or not being belonged to the identical features, which is important for further analysis or decision making. The methodology presented here enhances the technology of feature matching in the area of map conflation. Tests show that the method is well performed and has the ability to identify the non-one-to-one matching relationship and is well suited for areal feature matching among urban geographic databases with the same scales as well as similar scales.
Keywords:conflation of geographic database/map conflation  feature matching  morphologic distance  fuzzy topological relationship  
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