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论时空大数据的智能处理与服务
引用本文:李德仁.论时空大数据的智能处理与服务[J].地球信息科学,2019,21(12):1825-1831.
作者姓名:李德仁
作者单位:武汉大学测绘遥感信息工程国家重点实验室,武汉 430079
摘    要:时空大数据智能处理与服务是以测绘、遥感和地理信息技术为中心的地球空间信息学的重要应用途径和发展契机。本文首先全面论述了时空大数据的兴起发展、主要特点和挖掘手段,进而介绍了时空大数据的自动匹配、变化检测、智能决策等智能处理技术,并在此基础上论述了由对地观测到对人观测的“3S”社会化应用,最后介绍了天基信息的实时智能服务(PNTRC)的现状、发展目标、关键技术及应用前景。诸多实践证明,在大数据和人工智能时代,面对海量的多源异构的时空大数据,抓好自动化、实时化、智能化、大众化和社会化,地球空间信息学的创新发展前景必将一片光明。

关 键 词:时空大数据  智能处理  社会化应用  天基信息实时智能服务  
收稿时间:2019-10-15

The Intelligent Processing and Service of Spatiotemporal Big Data
LI Deren.The Intelligent Processing and Service of Spatiotemporal Big Data[J].Geo-information Science,2019,21(12):1825-1831.
Authors:LI Deren
Affiliation:State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China
Abstract:The intelligent processing and service of spatiotemporal big data is an important application and development opportunity of Geo Spatial Information Science, which is centered on surveying and mapping, remote sensing and geographic information technology. The development, main characteristics and mining methods of spatiotemporal big data are comprehensively discussed in this paper; Then automatic matching, change detection and intelligent decision-making of intelligent processing technologies based on spatiotemporal big data are introduced; On this basis, the "3S" socialized applications from earth observation to human observation are discussed; Finally, the current situation, development goal, key technologies, and application prospects of PNTRC based on spatiotemporal big data are introduced. Many practices have proved that in the age of big data and artificial intelligence,facing on the massive multi-source and heterogeneous spatiotemporal big data, focusing on the construction of automation, real-timized, intelligence, popularization and socialization, the innovation and development of Geo Spatial Information Science will have a bright future!
Keywords:Spatiotemporal big data  intelligent processing  social application  PNTRC  
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