节点文献
矢量地图数据缺陷识别方法研究
Research on the Defect Automatic Identification Methods of Vector Map Data
【摘要】 矢量地图数据缺陷识别方法是地图数据质量检查软件研制的基础,关系到地图数据质量控制的正确性和执行效率。本文通过对矢量地图数据缺陷特征分析,研究了矢量地图数据的缺陷类别和内容,归纳了点、线、面3类目标的几何关系基本算法。针对不同缺陷类型,研究了几何缺陷、属性缺陷、接边缺陷、元数据缺陷的自动识别方法;提出了基础算子组合规则,实现了灵活、便捷的缺陷识别功能重组;并通过实例进行了验证。
【Abstract】 As the base of map data quality checking software, defect identification methods of vector map data relate to the correctness and efficiency of the map data quality control. By analyzing the defect characteristics of vector map data, the map defect categories and contents were studied, and basic geometry algorithms for points, lines and surfaces were summarized. For different types of defects, the defect autoidentification methods were developed, such as geometric imperfection identification, properties defect identification, edge disconnection identification, metadata error identification. Also, composite rules of basic arithmetic operators were proposed, and the flexible and convenient function recombination were implemented, and the algorithms were validated by instance.
【Key words】 vector map data; quality control; quality defect; defect identification; arithmetics recombination;
- 【文献出处】 测绘科学技术学报 ,Journal of Geomatics Science and Technology , 编辑部邮箱 ,2014年03期
- 【分类号】P208
- 【被引频次】7
- 【下载频次】93