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From Digitalized to intelligentized Surveying and Mapping: Fundamental Issues and Research Agenda

Journal of Geodesy and Geoinformation Science 2022年第2期5卷 148-160页

作者： Jun CHEN Zhilin LI Songnian LI Wanzeng LIU Hao WU Li YAN National Geomatics Center of China Beijing100830China Faculty of Geosciences&State-Province Joint Engineering laboratory of Spatial Information Technology for High-speed Railway Safety Southwest Jiaotong UniversityChengdu 611756China Department of Land Surveying and Geo-Informatics Hong Kong Polytechnic UniversityHong Kong 999077China Department of Civil Engineering Toronto Metropolitan UniversityToronto M5B 1E5Canada School of Geodesy and Geomatics Wuhan UniversityWuhan 430079China

Nowadays Surveying and Mapping(S&M)production and services are facing some serious challenges such as real-timization of data acquisition,automation of information processing,and intellectualization of service *** main reason is that current digitalized S&M technologies,which involve complex algorithms and models as the core,are incapable of completely describing and representing the diverse,multi-dimensional and dynamic real world,as well as addressing high-dimensional and nonlinear spatial problems using simple algorithms and *** order to address these challenges,it is necessary to explore the use of natural intelligence in S&M,and to develop intelligentized S&M technologies,which are knowledge-guided and *** paper first discusses the basic concepts and ideas of intelligentized S&M,and then analyzes and defines its fundamental issues in the analysis and modeling of natural intelligence in S&M,the construction and realization of hybrid intelligent computing paradigm,and the mechanism and path of empowering *** research directions are then proposed in the four areas,including knowledge systems,technologies and methodologies,application systems,and instruments and equipments of intelligentized S&***,some institutional issues related to promoting scientific research and engineering applications in this area are discussed.

关键词： Surveying and Mapping intelligentization natural intelligence hybrid intelligent computing

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