论人工智能时代的测绘学发展

doi:10.11947/j.AGCS.2025.20250438

测绘学报 ›› 2025, Vol. 54 ›› Issue (12): 2107-2115.doi: 10.11947/j.AGCS.2025.20250438

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论人工智能时代的测绘学发展

李德仁¹(), 王密¹^,²(), 申文斌¹^,³, 杜清运⁴, 王硕¹

^1.武汉大学测绘遥感信息工程全国重点实验室，湖北　武汉　430079
^2.湖北珞珈实验室，湖北　武汉　430079
^3.武汉大学测绘学院，湖北　武汉　430079
^4.武汉大学资源与环境科学学院，湖北　武汉　430079

收稿日期:2025-10-19 修回日期:2025-11-25 出版日期:2026-01-15 发布日期:2026-01-15
通讯作者: 王密 E-mail:drli@whu.edu.cn;wangmi@whu.edu.cn
作者简介:李德仁（1939—），男，教授，中国科学院院士，中国工程院院士，研究方向为地球空间信息学理论与方法。E-mail：drli@whu.edu.cn
基金资助:
国家杰出青年科学基金(62425102)

On the development of surveying and mapping in the era of artificial intelligence

Deren LI¹(), Mi WANG¹^,²(), Wenbin SHEN¹^,³, Qingyun DU⁴, Shuo WANG¹

^1.State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China
^2.Hubei Luojia Laboratory, Wuhan 430079, China
^3.School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China
^4.School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China

Received:2025-10-19 Revised:2025-11-25 Online:2026-01-15 Published:2026-01-15
Contact: Mi WANG E-mail:drli@whu.edu.cn;wangmi@whu.edu.cn
About author:LI Deren (1939—), male, professor, academician of Chinese Academy of Sciences and Chinese Academy of Engineering, majors in the theory and methods of geospatial informatics. E-mail: drli@whu.edu.cn
Supported by:
The National Science Fund for Distinguished Young Scholars(62425102)

摘要/Abstract

摘要：

在人工智能技术飞速发展与时空信息应用需求日益增长的背景下，时空智能学作为融合测绘、导航、遥感、通信与人工智能的新兴学科应运而生。它借助通导遥智能传感器、云计算和人工智能技术，实现对自然与人类活动的智能感知、认知及决策支持，致力于推动可持续发展。测绘学在其中承担核心支撑作用，需构建四维时空基准以保障时空信息的精确性，发展“快准灵”的智能处理技术以应对海量数据挑战，并通过多维动态可视化手段提升时空信息理解效率。“全国一张图”工程是时空智能学理论落地实践的典型范式，依托东方慧眼星座和天地图，推动时空信息在政务、公众、商业领域的统一应用，实现动态更新与智能分析。未来，时空智能学将深化理论体系，完善时空基准构建与数据处理理论，结合人工智能前沿技术，促进全球时空信息共享，为城市治理、环境保护等领域提供更精准的决策支持，助力人类命运共同体建设。

关键词: 时空智能学, 测绘学, 时空基准, 时空数据处理, 时空信息可视化, “全国一张图”

Abstract:

Against the backdrop of rapid advances in artificial intelligence and the surging demand for spatio-temporal information applications, spatio-temporal intelligence, a new discipline integrating surveying, navigation, remote sensing, and artificial intelligence (AI) has emerged. Leveraging intelligent sensors for communication, navigation, and remote sensing, cloud computing, and AI technologies, it enables intelligent perception, cognition, and decision support for natural and human activities, with a focus on promoting sustainable development. Surveying and mapping plays a core supporting role, requiring the construction of a four-dimensional spatio-temporal reference frame to ensure the accuracy of spatio-temporal information, the development of “fast, accurate, and agile” intelligent processing technologies to address massive data challenges, and the enhancement of spatio-temporal information comprehension efficiency through multi-dimensional dynamic visualization. The “National One Map” project serves as a typical paradigm for the practical implementation of spatio-temporal intelligence theory. Relying on the Oriental Smart Eye constellation and Tianditu (national geospatial information public service platform), it promotes the unified application of spatio-temporal information in government affairs, public services, and commercial sectors, achieving dynamic updates and intelligent analysis. In the future, spatio-temporal intelligence will deepen its theoretical system, improve the theories of spatio-temporal reference frame construction and data processing, integrate cutting-edge AI technologies, facilitate global spatio-temporal information sharing, provide more precise decision support for urban governance, environmental protection, and other fields, and contribute to the construction of a community with a shared future for mankind.

Key words: spatio-temporal intelligence, surveying and mapping, spatio-temporal reference frame, spatio-temporal data processing, spatio-temporal information visualization, “National One Map”

中图分类号:

李德仁, 王密, 申文斌, 杜清运, 王硕. 论人工智能时代的测绘学发展[J]. 测绘学报, 2025, 54(12): 2107-2115.

Deren LI, Mi WANG, Wenbin SHEN, Qingyun DU, Shuo WANG. On the development of surveying and mapping in the era of artificial intelligence[J]. Acta Geodaetica et Cartographica Sinica, 2025, 54(12): 2107-2115.

图/表 4

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评价维度	考量因子	Mesh模型	单体化模型	LOD1.3级模型	属性设色三维模型
美观性	可视化效果	★★★★	★★★★☆	★★	★★★
易用性	数据量大小、属性挂接、平台支持	★★	★★★★	★★★★	★★★★
应用性	支撑应用场景是否广泛	★★★★	★★★★	★★★	★★★☆
经济性	自动化程度、成本高低	★★★	☆	★★★★	★★★★★
易维护性	数据更新难易程度	☆	★★★☆	★★★★★	★★★★★
生产成本/（元/km²）		8000~10 000	30 000~40 000	3000	1500

论人工智能时代的测绘学发展

On the development of surveying and mapping in the era of artificial intelligence

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