Click:

The Last Update Time:--

赵鹏程
+
Personal Information
  • Supervisor of Master's Candidates
  • Name (Pinyin):Zhao Pengcheng
  • Date of Birth:1993-09-05
  • E-Mail:
  • Date of Employment:2019-12-07
  • Administrative Position:高级实验师
  • Education Level:With Certificate of Graduation for Doctorate Study
  • Business Address:武汉大学信息学部遥感信息工程学院（5号楼）315办公室
  • Gender:Male
  • Contact Information:+86 15972003670
  • Status:Employed
  • Alma Mater:武汉大学
  • Teacher College:School of Remote Sensing and Information Engineering
Other Contact Information
  • PostalAddress:
  • OfficePhone:
  • Telephone:
  • Email:
Paper Publications
Current position: Home   >   Scientific Research   >   Paper Publications

A Multi-Level Robust Positioning Method for Three-Dimensional Ground Penetrating Radar (3D GPR) Road Underground Imaging in Dense Urban Areas

  • Date of Publication:2025-01-07
  • Hits:

  • DOI number: 

    10.3390/rs16091559

  • Affiliation of Author(s): 

    School of Remote Sensing and Information Engineering, Wuhan University, China

  • Journal: 

    REMOTE SENSING

  • Key Words: 

    multi-level robust positioning method,3D ground penetrating radar,3D mobile survey system,laser SLAM positioning

  • Abstract: 

    Three-Dimensional Ground Penetrating Radar (3D GPR) detects subsurface targets non-destructively, rapidly, and continuously. The complex environment around urban roads affects the positioning accuracy of 3D GPR. The positioning accuracy directly affects the data quality, as inaccurate positioning can lead to distortion and misalignment of 3D GPR data. This paper proposed a multi-level robust positioning method to improve the positioning accuracy of 3D GPR in dense urban areas in order to obtain more accurate underground data. In environments with good GNSS signals, fast and high-precision positioning can be achieved based on GNSS data using differential GNSS technology; in scenes with weak GNSS signals, high-precision positioning of subsurface data can be achieved by using GNSS and IMU as well as using GNSS/INS tightly coupled solution technology; in scenes with no GNSS signals, SLAM technology is used for positioning based on INS data and 3D point cloud data. In summary, this method ensures a positioning accuracy of 3D GPR better than 10 cm and high-quality 3D images of underground urban roads in any environment. This provides data support for urban road underground structure surveys and has broad application prospects in underground disease detection and prevention.

  • Co-author: 

    Zhao, Ju, Xuzhe, Pengcheng,Zhou, Qingwu,Hu,Duan, Yemei,Zhang

  • Indexed by: 

    Journal paper

  • Discipline: 

    Engineering

  • Document Type: 

    J

  • Volume: 

    16

  • Issue: 

    9

  • Translation or Not: 

    no

  • CN No.: 

    WOS:001220005100001,EI:20242016092673,Scopus:2-s2.0-85193025811

  • Date of Publication: 

    2024-05-01

Copyright @ 2017 Wuhan University