Volume 42 Issue 8
Aug.  2017
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ZHANG Hao, WU Fang, GONG Xianyong, XU Junkui, ZHANG Juntao. A Parallel Factor-Based Method of Arterial Two-Lane Roads Recognition[J]. Geomatics and Information Science of Wuhan University, 2017, 42(8): 1123-1130. DOI: 10.13203/j.whugis20150122
Citation: ZHANG Hao, WU Fang, GONG Xianyong, XU Junkui, ZHANG Juntao. A Parallel Factor-Based Method of Arterial Two-Lane Roads Recognition[J]. Geomatics and Information Science of Wuhan University, 2017, 42(8): 1123-1130. DOI: 10.13203/j.whugis20150122
shu

A Parallel Factor-Based Method of Arterial Two-Lane Roads Recognition

  • 1.

    Institute of Geographical Spatial Information, Information Engineering University, Zhengzhou 450052, China

  • 2.

    Suzhou Indystril Park Geone Information Technology Co. Ltd., Suzhou 215028, China

  • 3.

    Luoyang Electronic Equipment Test Center of China, Luoyang 471000, China

  • 4.

    Xi'an Information Technology of Surveying and Mapping Terminus, Xi'an 710000, China

Funds: 

The National Natural Science Foundation of China 41471386

The National Natural Science Foundation of China 41101362

The National Natural Science Foundation of China 41301524

Foundation of Thesis Innovation and Superior, Institute of Geographical Spatial Information, Information Engineering University XS201509

More Information
  • Author Bio:

    ZHANG Hao, master, specializes in cartographic generalization and spatial database updating. E-mail: zhanghaogis@163.com

  • Corresponding author:

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

  • Received Date: June 01, 2015
  • Published Date: August 04, 2017
    Graphical Abstract
    • Abstract
  • Urban arterial roads recognition and extraction is an essential step in networks generalization, and the handling of two-lane roads is a problem in large scale map generalization. Aiming at urban arterial two-lane roads recognition, in this paper, constraints about candidate pairs of two-lane roads are built based on Gestalt principles, and a parallel factor-based method of arterial two-lane roads recognition is proposed. Firstly, a topology between the nodes and road edges is built. Secondly, the matching method of Hausdorff(HD) distance to recognize candidate pairs of two-lane road like roads matching is utilized. Thirdly, computing candidate pairs parallel factor, if the parallel factor satisfies the threshold condition, the pairs are sections of an arterial two-lane road. Finally, according to the spatial relationships, many recognized sections are connected into whole roads. Experiments show that this method can effectively extract arterial two-lane roads in the road network after setting the threshold value by selecting typical samples.
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    • References (16)
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