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Two Typical Legends Automatic Recognition in Geological Section Map of Metro Project

Journal of Intelligent & Robotic Systems volume 79, pages 603–612 (2015)Cite this article

Abstract

There is important information in the geological section map of metro project for construction safety risk identification. Therefore geological section automatic recognition is a core process for risk identification automation, however, legends in the geological section map automatic recognition by computer is a foundation work. This paper proposes the categories of legends, the challenges and probabilities of legends recognition, and presents the methodology and detailed algorithms of legend of “clay” and “silty clay” recognition as example. At last an automatic legends recognition application example on the project of Pangxiejia Station of Wuhan Metro Line 2 is presented and geological stratum information recognition algorithms of the station exterior is proposed.

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Authors and Affiliations

  1. School of Management, Wuhan University of Science and Technology, Heping Avenue 947#, 430081, Wuhan, Hubei, China

    H. L. Yu & P. H. Li

  2. BIM Engineering Center, Huazhong University of Science and Technology, Luoyu Road 1037#, 430074, Wuhan, Hubei, China

    L. Y. Ding

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  1. H. L. Yu
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  2. L. Y. Ding
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  3. P. H. Li
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Correspondence to L. Y. Ding.

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Yu, H.L., Ding, L.Y. & Li, P.H. Two Typical Legends Automatic Recognition in Geological Section Map of Metro Project. J Intell Robot Syst 79, 603–612 (2015). https://doi.org/10.1007/s10846-014-0110-1

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  • DOI: https://doi.org/10.1007/s10846-014-0110-1

Keywords

  • Automatic legend recognition
  • Geological section map
  • Feature coefficient
  • Metro project