| 基于圆增长特征的点状要素群选取算法 |
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| 引用本文： | 高三营,闫浩文,陈静静,曹宝军,傅金镒.基于圆增长特征的点状要素群选取算法[J].测绘工程,2008,17(6):20-23. |
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| 作者姓名： | 高三营 闫浩文 陈静静 曹宝军 傅金镒 |
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| 作者单位： | 1. 兰州交通大学数理与软件工程学院,甘肃,兰州,730070
2. 兰州市自来水公司,甘肃,兰州,730070 |
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| 基金项目： | 国家自然科学基金
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教育部新世纪优秀人才支持计划
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| 摘 要： | 控制点、独立地物等在地图上呈点群状表达，如何高效、合理地实现此类要素的自动综合是地图多尺度表达的重要问题。文中在前人研究的基础上，提出一种基于圆增长特征的点状要素群结构化选取算法，实现点状要素群的自动选取。其基本原理是：根据一个点与其周围点重要性程度的比较来确定该点删除与否，从而确保其拓扑关系和几何信息的正确性。实验证明：该算法实用、有效。
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| 关 键 词： | 地图自动综合 点状要素 圆增长 结构化 |
An algorithm for point cluster selection based on the characteristics of circle-growth |
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| GAO San-ying,YAN Hao-wen,CHEN Jing-jing,CAO Bao-jun,FU Jinyi.An algorithm for point cluster selection based on the characteristics of circle-growth[J].Engineering of Surveying and Mapping,2008,17(6):20-23. |
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| Authors: | GAO San-ying YAN Hao-wen CHEN Jing-jing CAO Bao-jun FU Jinyi |
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| Institution: | GAO San-ying, YAN Hao-wen , CHEN Jing-jing, CAO Bao-jun, FU Jin-yi (1. School of Mathematics, Physics ＆ Software Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China; 2. The Water Company of Lanzhou, Lanzhou 730070, China) |
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| Abstract: | Control points and independent ground objects present a picture of point cluster in the map.It is an important issue to generalize these features automatically so that they can be represented in multi-scale maps.In light of the existing research achievements,an algorithm for point cluster simplification is provided in the paper on the basis of circle-growth which can realize the automatic selection of point clusters.The fundamental rule of this algorithm is to determine whether a point is deleted by comparing its importance value with its neighbors',so that topological information and geometrical information are transmitted correctly.The experiments show that this algorithm is not only practical,but also effective. |
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| Keywords: | automatic map generalization point features circle-growth structuralization |
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