Smart surveying and mapping: fundamental issues and research agenda

被引：0
|
作者：
Chen J. [1 ]
Liu W. [1 ]
Wu H. [1 ]
Li S. [2 ]
Yan L. [3 ]
机构：
[1] National Geomatics Center of China, Beijing
[2] Department of Civil Engineering, Ryerson University, Toronto
[3] School of Geodesy and Geomatics, Wuhan University, Wuhan
来源：
Cehui Xuebao/Acta Geodaetica et Cartographica Sinica | 2021年 / 50卷 / 08期
基金：
中国国家自然科学基金;
关键词：
Digitalization; Hybrid intelligent computing; Knowledge-guided; Natural intelligence; Smart; Surveying and mapping;
D O I：
10.11947/j.AGCS.2021.20210235
中图分类号：
学科分类号：
摘要：
Surveying and mapping production and services are facing many new problems such as real-time data acquisition, automation of information processing, and intellectualization of service applications. The main reason is that digital surveying and mapping involves complex algorithms and models as the core, and it is often impossible to use simple algorithms and models to completely describe and express the diverse, multi-dimensional and dynamic real world, which makes it difficult to address high-dimensional, nonlinear spatial problems. In order to address this challenge, it is necessary to explore the use of natural intelligence in surveying and mapping, and develop smart surveying and mapping technologies guided by knowledge and based on algorithms. This paper first discusses the basic concepts and ideas of smart surveying and mapping and then analyzes and points out the three basic problems of smart surveying and mapping, including the analysis and modeling of natural intelligence in surveying and mapping, the construction and realization of hybrid intelligent computing paradigm, and the mechanism and path of empowering production. The main directions for further development in the near future are then proposed, including the construction of knowledge system of smart surveying and mapping, research of technology methods, research and development of application systems and instrument equipment. In order to effectively promote scientific research and engineering applications in this area, efforts should be placed on top-level designing, promoting interdisciplinary collaborative innovation and industry-university-research cooperation, and creating good development environments. © 2021, Surveying and Mapping Press. All right reserved.
引用
收藏
页码：995 / 1005
页数：10
相关论文
共 100 条
  • [71] LIU Yu, KANG Chaogui, WANG Fahui, Towards big data-driven human mobility patterns and models, Geomatics and Information Science of Wuhan University, 39, 6, pp. 660-666, (2014)
  • [72] WANG Jiayao, XIE Mingxia, Geographical national condition and complex system, Acta Geodaetica et Cartographica Sinica, 45, 1, pp. 1-8, (2016)
  • [73] GUO Renzhong, LUO Tingwen, Intelligent management and control for land resources, Chinese Science Bulletin, 64, 21, pp. 2166-2171, (2019)
  • [74] YANG Yu, LI Xiaoyun, DONG Wen, Et al., Comprehensive evaluation on China's man-land relationship: theoretical model and empirical study, Acta Geographica Sinica, 74, 6, pp. 1063-1078, (2019)
  • [75] LIU Jianjun, CHEN Jun, ZHANG Jun, Et al., Geographic information dynamic monitoring in intelligent era, Geomatics and Information Science of Wuhan University, 44, 1, pp. 92-96, (2019)
  • [76] LI Jiancheng, Digital change the world, Informatization of China Construction, 23, pp. 44-45, (2019)
  • [77] YAN Li, LI Jiancheng, The emerging engineering education construction for surveying and mapping specialty, Bulletin of Surveying and Mapping, 2020, 12, pp. 148-154
  • [78] LIU Jingnan, GUO Wenfei, GUO Chi, Et al., Rethinking ubiquitous mapping in the intelligent age, Acta Geodaetica et Cartographica Sinica, 49, 4, pp. 403-414, (2020)
  • [79] GUO Renzhong, LIN Haojia, HE Biao, Et al., GIS framework for smart cities, Geomatics and Information Science of Wuhan University, 45, 12, pp. 1829-1835, (2020)
  • [80] YU Chongsheng, The formation of the knowledge system should follow the rules of its development, Exploration and free views, 9, pp. 14-16, (2020)
12345678910