The direction of integration surveying and mapping geographic information and artificial intelligence 2.0

doi:10.11947/j.AGCS.2021.20210200

Abstract

Abstract: In the artificial intelligence (AI) 2.0 era, based on the analysis of the development status of surveying and mapping geographic information, the driving force of promoting surveying and mapping geographic information to the era of intelligence 2.0 is studied, and the key tasks of building the surveying and mapping geographic information 2.0 era are proposed. In terms of basic theories, it is proposed that the breakthroughs of theories should be made in the twin environment of spatiotemporal big data, the knowledge graph of spatiotemporal information, the true three-dimensional deep neural network, the dynamic prediction and reasoning of spatiotemporal big data, etc. In terms of key technologies, the methods are emphasized, integrating the five intelligent technologies containing big data intelligence, cross-media intelligence, crowd intelligence, hybrid-augmented intelligence and autonomous unmanned system with surveying and mapping geographic information. In terms of platform, the important role and construction method of software and hardware platform of intelligent surveying and mapping geographic information are emphasized. At the end, taking the intelligent monitoring of natural resources and indoor-outdoor integrated intelligent navigation as a typical case, the practical application of related theories, technologies and platforms in surveying and mapping geographic information industry is analyzed. Through the discussion of this paper, the connotation, key content and path of the surveying and mapping geographic information enabled by AI are clarified, providing a kind of thinking for surveying and mapping geographic information industry to move towards the new era of intelligence 2.0.

Key words: surveying and mapping geographic information, new generation artificial intelligence, intelligent natural resource management, indoor and outdoor integrated intelligent navigation

CLC Number:

P208

ZHANG Guangyun, ZHANG Rongting, DAI Qionghai, CHEN Jun, PAN Yunhe. The direction of integration surveying and mapping geographic information and artificial intelligence 2.0[J]. Acta Geodaetica et Cartographica Sinica, 2021, 50(8): 1096-1108.

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