Keywords
Map data production
Process optimization
Project management
Intelligent production
Submitted : 2026-06-20
Accepted : 2026-07-05
Published : 2026-07-20
Abstract
With the rapid development of artificial intelligence (AI) technology in China, it has brought new ideas and tools for the upgrading of the geographic information industry. As an important carrier of geographic information services, map data production efficiency, accuracy, and scientific project management largely determine the quality of geographic information services. This paper systematically studies AI-driven process optimization by integrating core theories of project management and artificial intelligence technology. The results show that the integration of AI technology into the whole process of map data production can effectively shorten the production period, reduce project costs, improve data quality, and realize refined and intelligent management of map data production projects, providing practical references for the intelligent transformation of surveying and mapping geographic information enterprises.
References
Li DR, Yao Y, Shao ZF, 2021, Development and Prospect of Intelligent Surveying and Mapping. Acta Geodaetica et Cartographica Sinica, 50(01): 1–10.
Gong JY, Li QQ, Zhu XY, 2020, Smart City and Spatiotemporal Big Data. Science Press, Beijing.
Wang M, Pan J, 2022, Research Progress of Intelligent Interpretation of Remote Sensing Images and Automatic Extraction of Map Elements. Journal of Wuhan University (Information Science Edition), 47(03): 321–332.
Zhang YS, Gong DC, Liu J, 2020, Intelligent Processing Technology and Application of UAV Remote Sensing Data. Journal of Geomatics Science and Technology, 37(02): 111–116.
Li JL, He ZY, Chen YL, 2021, Research on Map Data Production Quality Control and Intelligent Quality Inspection Method. Bulletin of Surveying and Mapping, (07): 87–91.
Liu Y, Wang J, 2023, Application of Artificial Intelligence Technology in Geographic Information Data Production Process Optimization. Geospatial Information, 21(02): 102–105.
Bai M, Liu F, 2022, Overview of Deep Learning Application in Remote Sensing Image Feature Extraction. Computer Engineering and Applications, 58(10): 1–14.
Wang YW, Wu YH, 2019, Engineering Project Management. China Architecture & Building Press, Beijing.
Xu JP, Li B, 2020, Theory and Application of Collaborative Control of Project Schedule and Cost. Science Press, Beijing.
Chen J, Zhao RL, Wang DH, 2020, Geographic Information Engineering in Natural Resource Management. Acta Geodaetica et Cartographica Sinica, 49(06): 671–680.
Zhou QM, Liu XJ, 2021, Digital Elevation Model and Geoscientific Analysis. Science Press, Beijing.
Yang BG, Zhang BG, 2022, Research on Intelligent Surveying and Mapping Production Project Management Mode. Bulletin of Surveying and Mapping, (05): 145–149.
Ding YL, Zhu Q, Zhang YT, 2023, Intelligent Data Production System in the Construction of Real-Scene 3D China. Acta Geodaetica et Cartographica Sinica, 52(01): 1–12.
Zhang H, Wen YN, Liu AL, 2018, Geographic Information System Engineering and Project Management. Science Press, Beijing.
He K, Zhang X, Ren S, 2016, Deep Residual Learning for Image Recognition. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2016: 770–778.