| 线实体候选匹配集的优化方法研究 |
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| 引用本文： | 胡天硕,毛政元.线实体候选匹配集的优化方法研究[J].测绘科学,2011,36(2):132-135. |
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| 作者姓名： | 胡天硕 毛政元 |
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| 作者单位： | 空间数据挖掘与信息共享教育部重点实验室/福建省空间信息工程研究中心/福州大学; |
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| 基金项目： | 福建省自然科学基金重点项目(2006J0010); 国家科技支撑计划项目(2007SAH16B00-1) |
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| 摘 要： | 地图数据合并是地理空间数据集成的基本途径,同名实体匹配是其中的重点与难点。本文根据线实体的形状将其分为简单线实体与复杂线实体,提出针对前者以线实体端点与中点为发生元生成的Voronoi图所得到的邻近对应关系为依据、针对后者以基于线实体缓冲区重叠度构造的相似性测度指标为依据优化候选匹配集的思路,并设计与实现了相关算法。实证研究表明,该算法能够适应不同比例尺与不同时相的城市道路网地图数据同名实体匹配。
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| 关 键 词： | 地图合并 线实体 候选匹配集 Voronoi图 缓冲区距离 道路 |
Methodological research on optimal matching candidates of line objects |
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| HU Tian-shuo,MAO Zheng-yuan.Methodological research on optimal matching candidates of line objects[J].Science of Surveying and Mapping,2011,36(2):132-135. |
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| Authors: | HU Tian-shuo MAO Zheng-yuan |
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| Institution: | HU Tian-shuo,MAO Zheng-yuan(Key Lab of Spatial Data Mining and Information Sharing of Ministry of Education,Spatial Information Research Center,Fuzhou University,Fuzhou 350002,China) |
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| Abstract: | As a fundamental way to integrate geospatial data,feature matching is the focus and hardship of map conflation.The article divided line objects into simple ones and complicated ones based on their shape,and presented an idea to optimize their matching candidates according to different criteria.For the former,the criterion was the proximal relationship of their endpoints and midpoints derived from Voronoi diagram;for the latter,the criterion was a similarity index derived from overlapping proportion of their... |
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| Keywords: | map conflation line objects matching candidates Voronoi Diagram buffer distance road |
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