测绘地理信息与人工智能2.0融合发展的方向

doi:10.11947/j.AGCS.2021.20210200

测绘学报 ›› 2021, Vol. 50 ›› Issue (8): 1096-1108.doi: 10.11947/j.AGCS.2021.20210200

测绘地理信息与人工智能2.0融合发展的方向

张广运^1,3, 张荣庭³, 戴琼海⁴, 陈军⁵, 潘云鹤^1,2

1. 中国工程院, 北京 100088;
2. 浙江大学, 浙江杭州 310058;
3. 南京工业大学, 江苏南京 211816;
4. 清华大学, 北京 100084;
5. 自然资源部国家基础地理信息中心, 北京 100830

收稿日期:2021-04-16 修回日期:2021-05-06 发布日期:2021-08-24
通讯作者: 潘云鹤 E-mail:panyh@cae.cn
作者简介:张广运(1983-),男,教授,研究方向为遥感信息智能处理。
基金资助:
中国工程院重大咨询研究（2019-ZD-30）

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

ZHANG Guangyun^1,3, ZHANG Rongting³, DAI Qionghai⁴, CHEN Jun⁵, PAN Yunhe^1,2

1. Chinese Academy of Engineering, Beijing 100088, China;
2. Zhejiang University, Hangzhou 310058, China;
3. Nanjing Tech University, Nanjing 211816, China;
4. Tsinghua University, Beijing 100084, China;
5. National Geomatics Center of China, Ministry of National Resource of the People's Republic of China, Beijing 100830, China

Received:2021-04-16 Revised:2021-05-06 Published:2021-08-24
Supported by:
The Major Consulting Research of Chinese Academy of Engineering (No. 2019-ZD-30)

摘要/Abstract

摘要： 面向人工智能2.0时代，在分析测绘地理信息发展现状的基础上，研究推动测绘地理信息迈向智能2.0时代的驱动力，并提出了建设测绘地理信息2.0时代的重点任务。在基础理论方面，提出需在时空大数据孪生环境、时空信息知识图谱、真三维深度神经网络、时空大数据动态预测推理等理论方面展开攻关；在关键技术方面，强调大数据智能、跨媒体智能、群体智能、混合增强智能和自主无人系统五大智能技术与测绘地理信息进行融合的方法；在平台方面，强调了智能测绘地理信息软硬件平台的重要作用和构建方式；最后以自然资源智能监测和室内外一体化智能导航为典型案例，分析了相关的理论、技术和平台在测绘地理信息行业的实际应用。通过本文的论述，理清了人工智能赋能测绘地理信息的内涵、重点内容和路径，为测绘地理信息迈向智能化2.0新时代提供了一种思考。

关键词: 测绘地理信息, 新一代人工智能, 智能自然资源管理, 室内外一体化智能导航

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

中图分类号:

P208

张广运, 张荣庭, 戴琼海, 陈军, 潘云鹤. 测绘地理信息与人工智能2.0融合发展的方向[J]. 测绘学报, 2021, 50(8): 1096-1108.

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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测绘地理信息与人工智能2.0融合发展的方向

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

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