Volume 43 Issue 1
Jan.  2018
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XING Ruixing, WU Fang, ZHANG Hao, GONG Xianyong. Dual-carriageway Road Extraction Based on Facing Project Distance[J]. Geomatics and Information Science of Wuhan University, 2018, 43(1): 152-158. DOI: 10.13203/j.whugis20150783
Citation: XING Ruixing, WU Fang, ZHANG Hao, GONG Xianyong. Dual-carriageway Road Extraction Based on Facing Project Distance[J]. Geomatics and Information Science of Wuhan University, 2018, 43(1): 152-158. DOI: 10.13203/j.whugis20150783
shu

Dual-carriageway Road Extraction Based on Facing Project Distance

  • 1.

    Institute of geographical spatial information, Information Engineering University, Zhengzhou 450052, China

  • 2.

    State Key Laboratory of Information Engineering, Xi'an 710054, China

Funds: 

The National Natural Science Foundation of China 41171354

The National Natural Science Foundation of China 41171305

The National Natural Science Foundation of China 41101362

the Funded by State Key Laboratory of Information Engineering SKLGIE2015-M-4-1

More Information
  • Author Bio:

    XING Ruixing, PhD candidate, specializes in automated cartographic generalization and spatio-temporal data analysis. E-mail: Xingrxgis@whu.edu.cn

  • Corresponding author:

    WU Fang, PhD, professor. E-mail: wufang_630@126.com

  • Received Date: February 28, 2016
  • Published Date: January 04, 2018
    Graphical Abstract
    • Abstract
  • Recognition and extraction of a dual-carriageway road is a key task in road network generalization for large scale maps. Based on the analysis of dual-carriageway road recognition, this paper presents a new distance metric algorithm, facing project distance, which can measure line-line distance. A dual-carriageway road candidate set is extracted through buffering, dual-carriageway roads can be recognized accurately using constraint parameters characterised by the facing project distance. A comparison of the performance of this algorithm and existing distance metric algorithms, show that facing project distance accurately reflects the spatial proximity of a pair of lines exptessing dual-carriageway roads, the proposed algorithm can correctly recognize the dual-carriageway roads.
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    • References (19)
  • [1]
    武芳, 钱海忠, 邓红艳, 等.面向地图自动综合的空问信息智能处理[M].北京:科学出版社, 2008

    Wu Fang, Qian Haizhong, Deng Hongyan, et al. Intelligent Spatial Information Processing for Automated Map Generalization[M]. Beijing:Science Press, 2008
    [2]
    Thom S. A. Strategy for Collapsing OS Integrated Transport Network Dual Carriageways[C]. Proceedings of the 8th ICA Workshop on Generalisation and Multiple Representation, La Coruña, Spain, 2005
    [3]
    陈波, 武芳, 钱海忠.道路网自动选取方法研究[J].中国图象图形学报, 2008, 13(12):2388-2393 doi: 10.11834/jig.20081222

    Chen Bo, Wu Fang, Qian Haizhong. Study on Road Networks' Auto-selection Algorithms[J]. Journal of Image and Graphics, 2008, 13(12):2388-2393 doi: 10.11834/jig.20081222
    [4]
    李清泉, 曾喆, 杨必胜, 等.城市道路网路的中介中心性分析[J].武汉大学学报·信息科学版, 2010, 35(1):37-40 http://www.oalib.com/paper/4249013

    Li Qingquan, Zeng Zhe, Yang Bisheng, et al. Betweenness Centrality Analysis for Urban Road Networks[J]. Geomatics and Information Science of Wuhan University, 2010, 35(1):37-40 http://www.oalib.com/paper/4249013
    [5]
    栾学晨, 杨必胜, 张云菲.城市道路复杂网络结构化等级分析[J].武汉大学学报·信息科学版, 2012, 37(6):728-732 http://ch.whu.edu.cn/CN/abstract/abstract235.shtml

    Luan Xuechen, Yang Bisheng, Zhang Yunfei. Structural Hierarchy Analysis of Streets Based on Complex Network Theory[J]. Geomatics and Information Science of Wuhan University, 2012, 37(6):729-732 http://ch.whu.edu.cn/CN/abstract/abstract235.shtml
    [6]
    徐柱, 刘彩凤, 张红, 等.基于路划网络功能的道路选取方法[J].测绘学报, 2012, 41(5):769-776 http://www.oalib.com/paper/4608905

    Xu Zhu, Liu Caifeng, Zhang Hong, et al. Road Selection Based on Evaluation of Stroke Network Functionality[J]. Acta Geodaetica et Cartographica Sinica, 2012, 41(5):769-776 http://www.oalib.com/paper/4608905
    [7]
    Zhang M, Shi W Z, Meng L Q. A Matching Approach Focused on Parallel Roads and Looping Crosses in Digital Maps[C]. International Symposium of Theoretical Cartography and Geo-Information Science, Wuhan, China, 2006
    [8]
    栾学晨, 杨必胜.城市复杂道路网的Stroke生成方法[J].地理与地理信息科学, 2009, 25(1):49-52 http://www.cnki.com.cn/Article/CJFDTotal-CHXB201401018.htm

    Luan Xuechen, Yang Bisheng. Generating Strokes from City Road Networks[J]. Geography and Geo-Information Science, 2009, 25(1):49-25 http://www.cnki.com.cn/Article/CJFDTotal-CHXB201401018.htm
    [9]
    栾学晨, 范红超, 杨必胜, 等.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):327-340 http://ch.whu.edu.cn/CN/abstract/abstract2900.shtml

    Luan Xuechen, Fan Hongchao, Yang Bisheng, et al. Arterial Roads Extraction in Urban Road Networks Based on Shape Analysis[J]. Geomatics and Information Science of Wuhan University, 2014, 39(3):327-340 http://ch.whu.edu.cn/CN/abstract/abstract2900.shtml
    [10]
    黄博华. 基于层次化面域剖分模型的城市道路网匹配方法研究[D]. 郑州: 信息工程大学, 2015

    Huang Bohua. Research on Matching Method of Urban Road Networks Based on Hierarchical Area Partitioning[D]. Zhengzhou: Information Engineering University, 2015
    [11]
    王文成, 李晓伟, 智佳, 等.基于Hausdorff距离的轮廓线匹配[J].西安邮电学院学报, 2007, 12(3):91-94 http://www.wenkuxiazai.com/doc/09a773d7eefdc8d377ee3261.html

    Wang Wencheng, Li Xiaowei, Zhi Jia, et al. Contour Matching Based on Hausdorff Distance[J]. Journal of Xi'an University of Post and Telecommunications, 2007, 12(3):91-94 http://www.wenkuxiazai.com/doc/09a773d7eefdc8d377ee3261.html
    [12]
    Huttenlocher D P, Klanderman G A, Rucklidge W J. Comparing Images Using the Hausdorff Distance[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1993, 15(9):850-862 doi: 10.1109/34.232073
    [13]
    Tong X H, Liang D, Jin Y M. A Linear Road Object Matching Method for Conflation Based on Optimization and Logistic Regression[J]. International Journal of Geographical Information Science, 2014, 28(4):824-846. doi: 10.1080/13658816.2013.876501
    [14]
    Volz S, Walter V. Linking Different Geospatial Databases by Explicit Relations[C]. Proceedings of the 10th ISPRS Congress, Istanbul, Turkey, 2004
    [15]
    Yu X, Leung M K H. Shape Recognition using Curve Segment Hausdorff Distance[C]. The 18th International Conference on Pattern Recognition, Hong Kong, China, 2006
    [16]
    简灿良. 多比例尺地图数据不一致性探测与处理方法研究[D]. 武汉: 武汉大学, 2013

    Jian Canliang. A Study on Multi-scale Vector Map Data Inconsistency Detection and Handling Methods[D]. Wuhan: Wuhan University, 2013
    [17]
    艾廷华, 郭仁忠.基于格式塔识别原则挖掘空间分布模式[J].测绘学报, 2007, 36(3):302-308 http://www.cnki.com.cn/Article/CJFDTOTAL-CHXB200703012.htm

    Ai Tinghua, Guo Renzhong. Polygon Cluster Pattern Mining Based on Gestalt Principles[J]. Acta Geodaetica et Cartographica Sinica, 2007, 36(3):302-308 http://www.cnki.com.cn/Article/CJFDTOTAL-CHXB200703012.htm
    [18]
    巩现勇, 武芳, 钱海忠, 等.建筑群多连通直线模式的参数识别方法[J].武汉大学学报·信息科学版, 2014, 39(3):335-339 http://ch.whu.edu.cn/CN/abstract/abstract2910.shtml

    Gong Xianyong, Wu Fang, Qian Haizhong. The Paramaete Discrimination Approach to Multi-Connected Liner Pattern Recoginition in Building Groups[J]. Geomatics and Information Science of Wuhan University, 2014, 39(3):335-339 http://ch.whu.edu.cn/CN/abstract/abstract2910.shtml
    [19]
    翟仁健. 基于全局一致性评价的多尺度矢量空间数据匹配方法研究[D]. 郑州: 信息工程大学, 2011

    Zhai Renjian. Research on Automated Matching Methods for Multi-Scale Vector Spatial Data Based on Global Consistency Evaluation[D]. Zhengzhou: Information Engineering University, 2011
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