多因子影响的地图居民地自动聚群与综合研究

¹兰州交通大学数理与软件工程学院,兰州市安宁区西路88号730070;²武汉大学地理信息系统教育部重点实验室,武汉市珞喻路129号430079;³武汉大学资源与环境科学学院,武汉市珞喻路129号,430079

基金项目: 国家自然科学基金资助项目(40391037)，兰州交通大学“青蓝”人才工程基金资助项目

详细信息

An Approach for Automated Building Grouping and Generalization Considering Multiple Parameters

¹Math,Physics and Software Engineering School,Lanzhou Jiaotong University,88 West Anningqu Road,Lanzhou 730070,China;²School of Resource and Environment Science,Wuhan University,129 Luoyu Road,Wuhan 430079,China;³Key Laboratory of Geographic Information System,Ministry of Education,Wuhan University,129 Luoyu Road,Wuhan 430079,China

Funds: 国家自然科学基金资助项目(40391037)，兰州交通大学“青蓝”人才工程基金资助项目

摘要: 提出了地图综合目的的居民地聚群需要遵循Gestalt的邻近性、相似性和方向性原则,描述居民地结构、形态及其关系需要6个因子,即居民地间的距离、可视区域面积、大小相似度、形状相似度、方向关系、居民地内部方向;进而运用这些原则和因子,给出了居民地的自动聚群和综合方法。
- Gestalt原则 /
- 多因子 /
- 自动地图综合
Abstract: An approach is presented for automated building grouping and generalization.Three principles in Gestalt theories and six parameters, are selected to describe spatial configurations,distributions and relations of buildings.Based on the rules and the parameters,an approach to building grouping and generalization is derived using Delaunay triangulation.The difference of the method with existing ones is that this method takes into consideration direction relations among buildings.This approach is fully automatic and can be used in generalization of buildings in blocks.
- Gestalt principles /
- multiple parameters /
- automated map generalization