Volume 47 Issue 12
Dec.  2022
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LIU Wanzeng, CHEN Jun, REN Jiaxin, XU Chen, LI Ran, ZHAI Xi, JIANG Zhihao, ZHANG Ye, PENG Yunlu, WANG Xinpeng. Hybrid Intelligence-Based Framework for Automatic Map Inspecting Technology[J]. Geomatics and Information Science of Wuhan University, 2022, 47(12): 2038-2046. DOI: 10.13203/j.whugis20220683
Citation: LIU Wanzeng, CHEN Jun, REN Jiaxin, XU Chen, LI Ran, ZHAI Xi, JIANG Zhihao, ZHANG Ye, PENG Yunlu, WANG Xinpeng. Hybrid Intelligence-Based Framework for Automatic Map Inspecting Technology[J]. Geomatics and Information Science of Wuhan University, 2022, 47(12): 2038-2046. DOI: 10.13203/j.whugis20220683
shu

Hybrid Intelligence-Based Framework for Automatic Map Inspecting Technology

  • 1.

    National Geomatics Center of China, Beijing 100830, China

  • 2.

    Key Laboratory of Spatiotemporal Information and Intelligent Services, Ministry of Natural Resources of China, Beijing 100830, China

  • 3.

    School of Geosciences and Info‐Physics, Central South University, Changsha 410083, China

  • 4.

    Hubei Luojia Laboratory, Wuhan 430079, China

  • 5.

    Key Laboratory of Land Environment and Disaster Monitoring, Ministry of Natural Resources of China, China University of Mining and Technology, Xuzhou 221116, China

Funds: 

The Open Fund of Hubei Luojia Laboratory 220100037

the National Key Research and Development Program of China 2022YFB3904205

More Information
  • Author Bio:

    LIU Wanzeng, PhD, senior engineer，majors in GIS. E-mail: luwnzg@163.com

  • Corresponding author:

    CHEN Jun, professor, Academician of Chinese Academy of Engineering. E-mail: chenjun@ngcc.cn

    REN Jiaxin, PhD candidate. E-mail: jaycecd@foxmail.com

  • Received Date: October 17, 2020
  • Available Online: January 05, 2023
  • Published Date: December 04, 2022
    Graphical Abstract
    • Abstract
  • Map inspection is the main responsibility of the national mapping and geographic information administrative department. The current map inspection in China relies on manual visual judgment, which is costly and inefficient. How to move from manual detection highly dependent on expert experience to automatic judgment with hybrid intelligence is a technical difficulty and painful problem facing map inspecting in China. We propose a hybrid intelligence approach for automatic map inspection based on knowledge and algorithm; design a technical framework for automatic map inspection based on hybrid intelligence and point out three key technologies that need to be broken through; combined with a typical case of intelligent inspection of "problematic maps", the technical realization path of intelligent map inspection is given.
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    • References (40)
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