城市道路网主干道提取的形态分析方法

栾学晨; 范红超; 杨必胜; 李秋萍

doi:10.13203/j.whugis20120078

城市道路网主干道提取的形态分析方法

栾学晨^1,2,3,
范红超⁴,
杨必胜^1,2,
李秋萍⁵

¹ 武汉大学测绘遥感信息工程国家重点实验室,湖北武汉,430079;² 武汉大学时空数据智能获取技术与应用教育部工程研究中心,湖北武汉,430079;³ 广东瑞图万方科技股份有限公司,广东佛山,528305;⁴ 同济大学测量与地理信息学院,上海,200092;⁵ 中山大学地理科学与规划学院,广东广州,510275

基金项目: 国家863计划资助项目(2012AA12A211,2012AA12A204)；国家自然科学基金资助项目(41101443)；中央高校基本科研业务费专项资金资助项目(3103005,201161902020015)；广东省战略性新兴产业发展专项资金资助项目(2011168036)；教育部博士研究生学术新人奖资助项目(5052011619019)；武汉大学博士研究生短期出国(境)研修资助项目

详细信息

作者简介:
栾学晨,博士生,主要研究方向为城市道路网数据分析、建模和多尺度表达。

中图分类号: P208!
计量
- 文章访问数: 4128
- HTML全文浏览量: 82
- PDF下载量: 1239
出版历程
- 收稿日期: 2013-08-20
- 修回日期: 2014-03-04
- 发布日期: 2014-03-04

Arterial Roads Extraction in Urban Road NetworksBased on Shape Analysis

¹State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,Wuhan 430079,China;²Engineering Research Center for Spatio-temporal Data Smart Acquisition and Application,Wuhan University,Wuhan 430079,China;³Guangdong Ruitu Information Systems Co,Ltd.,Foshan 528305,China;⁴College of Surveying and Geo-informatics,Tongji University,Shanghai 200092,China;⁵School of Geography and Planning,Sun Yat-sen University,Guangzhou 510275,China

Funds: The National 863Program of China,Nos.2012AA12A211,2012AA12A204;the National Natural Science Founda-tion of China,No.41101443;the Fundamental Research Funds for the Central Universities,Nos.3103005,201161902020015;the Guang-dong Special Fund for Strategic Emerging Industrial Development(High-end New Electronic Information)Project,No.2011168036;theScholarship Award for Excellent Doctoral Student Granted by Ministry of Education,No.5052011619019;Wuhan University PhDStudent Short-term Abroad Research Projects.

More Information

Author Bio:
LUAN Xuechen,PhD candidate,specializes in data analysis,modeling and LoD representation in urban road networks.

摘要

摘要: 目的基于多边形的形态分析提出一种城市主干道提取方法。首先根据点线数据生成多边形并计算多边形几何形态指标;然后使用支持向量机集成各项指标对生成的多边形进行形态分类,提取候选主干道多边形;最后根据格式塔理论使用区域增长算法连接候选主干道多边形,提取最终的道路网主干道。实验表明,通过本方法能够快速有效地提取道路网中的平行车道。与道路属性数据中的高等级道路比较发现,本文提取的主干道与道路网的建设等级趋于一致。
- 交通地理信息系统 /
- 主干道 /
- 道路网 /
- 格式塔 /
- 道路等级
Abstract: Objective This paper presents a shape-based approach to extract arterial roads from urban road net-works is appropriate to the high level-of-detail found in volunteered geographic information(VGI)datasets.Firstly,the method calculates several shape descriptors of each polygon surrounded byroads.Secondly,some candidate arterial-road polygons are classified as seeds from all polygons withshape descriptors using support vector machine(SVM).Finally,based on seed polygons,a regionalgrowing method is proposed to connect the arterial-road features according to the Gestalt concept.Anexperiment shows that this method achieves good and effective arterial road extraction results,reflec-ting the constructed skeleton in urban network.Furthermore,a comparison analysis of high-levelroads attributes was also carried out to confirm the consistency between constructed road levels andour detected arterial roads.
- GIS-T /
- arterial roads /
- road networks /
- Gestalt /
- road hierarchies