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人工智能对测绘科技若干领域发展的影响研究
引用本文:熊伟.人工智能对测绘科技若干领域发展的影响研究[J].武汉大学学报(信息科学版),2019,44(1):101.
作者姓名:熊伟
作者单位:1.国家测绘地理信息局测绘发展研究中心, 北京, 100830
基金项目:中国工程院重点咨询研究项目2017-XZ-13
摘    要:测绘科技发展已进入一个相对关键的时期,需要从战略层面来考虑如何推动其未来发展。基于对测绘科技发展历史的系统回顾,深刻剖析了测绘科技发展的一般规律,即所处的科学范畴、应用需求、新技术发展是影响和决定测绘科技发展方向的三大关键因素。这一规律是研究确定未来测绘科技发展战略思路的基本遵循。基于此,在重点分析人工智能技术发展趋势及其对测绘科技发展已有影响的基础上,阐述了人工智能与大地测量、地理信息数据获取、地理信息数据处理与应用等技术融合发展下的未来智能化测绘科技发展趋势,提出了传统的野外测量将逐渐被无人驾驶飞机、汽车、轮船以及卫星等智能化的机器所替代的设想,以及实现这一设想需要解决的系列难题。

关 键 词:人工智能    测绘    地理信息数据    科技    影响
收稿时间:2018-09-08

Influence of Artificial Intelligence on the Development of some Fields of Surveying and Mapping Technology
Institution:1.Development Research Center of National Administration of Surveying, Mapping and Geoinformation, Beijing 100830, China
Abstract:The development of Surveying and Mapping Science and Technology has entered a relatively critical period. It needs to consider how to promote its future development from the strategic level. Based on a systematic review of the history of the development of Surveying and Mapping Science and Technology, the general law of the development of Surveying and Mapping Science and Technology is deeply analyzed, that is, the scientific category, application demand and new technology development are the three key factors influencing and determining the direction of the development of Surveying and Mapping Science and Technology. This rule is the basic way to study and define the future development strategy of Surveying and Mapping Science and Technology. Based on the analysis of the development trend of artificial intelligence technology and its influence on the development of Surveying and Mapping Science and Technology, the future development trend of intelligent Surveying and Mapping Science and Technology under the integration of artificial intelligence and geodetic surveying, geographic information data acquisition, geographic information data processing and application technology is studied and expounded, and a vision is put forword that the traditional field measurement will gradually be replaced by intelligent machines such as unmanned aerial vehicles, automobiles, ships and satellites, and a series of difficult problems to be solved to realize this vision are put forward.
Keywords:
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