| 多源地理空间矢量数据关联分析 |
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| 引用本文： | 郭黎,姜晶莉,李豪,王云阁.多源地理空间矢量数据关联分析[J].测绘通报,2020,0(6):71. |
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| 作者姓名： | 郭黎 姜晶莉 李豪 王云阁 |
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| 作者单位： | 1. 信息工程大学, 河南 郑州 450001;2. 航天工程大学士官学校, 北京 102249 |
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| 基金项目： | 国家自然科学基金（41471314；41001313）；科技部重大专项（2019FY202500） |
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| 摘 要： | 针对多源地理空间矢量数据多来源、难以集成综合利用这一现状，本文提出了多源地理空间矢量数据关联方法，并以此为基础构建了多源地理空间矢量数据关联的可视与计算查询系统。首先，对多源地理空间矢量数据关联的概念及分类进行了定义。然后，以此为基础，提出了关联关系构建技术：自适应四叉树编码技术、扫描线技术、几何匹配及语义匹配技术。最后，为实现关联关系的直观展示，设计了原型系统。关联技术的提出可建立起多源地理空间矢量数据之间的关联关系，原型系统的构建也为用户综合利用多源地理空间矢量数据提供了平台，提高了数据的利用率及数据查询的效能。
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| 关 键 词： | 多源地理空间矢量数据 关联关系 自适应四叉树编码 扫描线 几何匹配 语义匹配 |
| 收稿时间： | 2019-08-19 |
| 修稿时间： | 2020-03-23 |
Analysis of multi-source geospatial vector data association |
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| GUO Li,JIANG Jingli,LI Hao,WANG Yunge.Analysis of multi-source geospatial vector data association[J].Bulletin of Surveying and Mapping,2020,0(6):71. |
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| Authors: | GUO Li JIANG Jingli LI Hao WANG Yunge |
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| Institution: | 1. Information Engineering University, Zhengzhou 450001, China;2. School of Non-commissioned Officer, Space Engineering University, Beijing 102249, China |
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| Abstract: | Aiming at the present situation that multi-source geospatial vector data is multi-source and difficult to integrated and comprehensive utilization, multi-source geospatial vector data association technology is proposed, and a association visual and computational query system of multi-source geospatial vector data is constructed based on the technology. Firstly, the concept and classification of multi-source geospatial vector data association is defined. And then the construction technology of association relation which includes adaptive quadtree coding technology, scanning line technology, geometric matching and semantic matching technology is introduction on the basis of the concept and classification.Finally, to display association relation visually, prototype system is designed. The proposition of association technology can build association relation amang multi-source geospatial vector data, the establishment of prototype system offers a platform for users to use multi-source geospatial vector data integrated, and it has improved the utilization ratio of data and the effectiveness of searching. |
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| Keywords: | multi-source spatial vector data association relation adaptive quadtree coding scanning line geometric matching semantic matching |
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