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

Hybrid Intelligence-Based Framework for Automatic Map Inspecting Technology

  • 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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