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
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
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.
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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