摘要
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。
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 by roads. Secondly, some candidate arterial-road polygons are classified as seeds from all polygons with shape descriptors using support vector machine （SVM）. Finally, based on seed polygons, a regional growing method is proposed to connect the arterial-road features according to the Gestalt concept. An experiment 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-level roads attributes was also carried out to confirm the consistency between constructed road levels and our detected arterial roads.
出处
《武汉大学学报（信息科学版）》
EI
CSCD
北大核心
2014年第3期327-331,共5页
Geomatics and Information Science of Wuhan University
基金
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~~
