| 基于多密度聚类算法的路网提取 |
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| 引用本文： | 朱鸿博,王山东,李贺,方琪,征程.基于多密度聚类算法的路网提取[J].地理信息世界,2017,24(3). |
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| 作者姓名： | 朱鸿博 王山东 李贺 方琪 征程 |
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| 作者单位： | 河海大学地球科学与工程学院,江苏南京,210000 |
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| 摘 要： | 随着GPS等定位系统的迅速发展,使得路网提取有了新的发展方向,然而目前利用浮动车GPS轨迹数据提取路网的方法层出不穷,但是提取效果却并不能尽如人意。本文将基于网格密度因子的多密度聚类算法引入路网提取,通过该方法对疑似特征点进行聚类来提取道路特征点,来构建道路几何网络,并通过对比分析取得了不错的实验结果。
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| 关 键 词： | 数据挖掘 聚类算法 GPS轨迹 路网构造 |
Road Network Extraction Based on Multi-density Clustering Algorithm |
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| ZHU Hongbo,WANG Shandong,LI He,FANG Qi,ZHENG Cheng.Road Network Extraction Based on Multi-density Clustering Algorithm[J].Geomatics World,2017,24(3). |
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| Authors: | ZHU Hongbo WANG Shandong LI He FANG Qi ZHENG Cheng |
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| Abstract: | With the rapid development of GPS and other positioning systems,the road network has a new direction of development.However,the current floating vehicle GPS track data extraction network approach is endless,but the extraction effect is not satisfactory.In this paper,a multi-density clustering algorithm based on grid density factor is introduced into road network extraction.The road feature points are extracted by clustering the suspected feature points to construct the road geometry network,and the experimental results are obtained through comparative analysis. |
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| Keywords: | data mining clustering algorithm GPS track road network construction |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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