测绘学报

• 学术论文 •    

一种自适应的矢量数据增量更新方法研究

张新长1,郭泰圣2,唐铁2   

  1. 1. 中山大学地理科学与规划学院
    2. 中山大学
  • 收稿日期:2012-03-01 修回日期:2012-05-15 出版日期:2012-08-25 发布日期:2012-08-25
  • 通讯作者: 张新长

An Adaptive Method for Incremental Updating of Vector Data

  • Received:2012-03-01 Revised:2012-05-15 Online:2012-08-25 Published:2012-08-25

摘要: 针对GIS增量更新中存在的一致性维护及空间冲突问题,本文提出了一种自适应的矢量数据增量更新方法。以同名对象匹配为切入点,探讨变化对象的检测与增量更新的方式。在综合考虑空间距离,语义相似度及拓扑一致性约束的基础上,提出了接边匹配度的计算方法并设计自适应的对象接边算法。同时本文也论述了矢量数据增量更新中,基于约束规则的空间冲突检测与处理方法。以矢量地形图实验数据验证了文中所提出的模型与算法。实验结果显示该方法计算效率高,能较好地维护更新后空间数据库的一致性与完整性,为GIS空间数据库的动态更新与一致性维护提供了新的解决思路。

Abstract: To maintain data consistency and eliminate the spatial conflicts brought by spatial database updating, this paper purposes an adaptive method for incremental vector data updating. Based on the matching of correspondent objects, a change-object detection and incremental updating method is discussed. Considering the constraint of spatial distance, semantic similarity and topology consistency, we propose a calculated method for edge matching evaluation. An adaptive edge matching strategy is also designed to maintain the consistency of spatial data. We also discuss the rule-based detection and manipulation of spatial conflicts. Topographical data are used to verify the practicality and efficiency of the method. The result shows that this method can achieve high computing speed and maintain the consistency and integrity of spatial data. This paper provides a new idea for incremental updating and consistency maintenance of GIS spatial database.