栾学晨, 范红超, 杨必胜, 李秋萍. 城市道路网主干道提取的形态分析方法[J]. 武汉大学学报 ( 信息科学版), 2014, 39(3): 327-331. DOI: 10.13203/j.whugis20120078
引用本文: 栾学晨, 范红超, 杨必胜, 李秋萍. 城市道路网主干道提取的形态分析方法[J]. 武汉大学学报 ( 信息科学版), 2014, 39(3): 327-331. DOI: 10.13203/j.whugis20120078
LUAN Xuechen, FAN Hongchao, YANG Bisheng, LI Qiuping. Arterial Roads Extraction in Urban Road NetworksBased on Shape Analysis[J]. Geomatics and Information Science of Wuhan University, 2014, 39(3): 327-331. DOI: 10.13203/j.whugis20120078
Citation: LUAN Xuechen, FAN Hongchao, YANG Bisheng, LI Qiuping. Arterial Roads Extraction in Urban Road NetworksBased on Shape Analysis[J]. Geomatics and Information Science of Wuhan University, 2014, 39(3): 327-331. DOI: 10.13203/j.whugis20120078

城市道路网主干道提取的形态分析方法

Arterial Roads Extraction in Urban Road NetworksBased on Shape Analysis

  • 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。

     

    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.

     

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