地球信息科学学报 ›› 2019, Vol. 21 ›› Issue (12): 1825-1831.doi: 10.12082/dqxxkx.2019.190694

• 特约稿件 •    下一篇

论时空大数据的智能处理与服务

李德仁*()   

  1. 武汉大学测绘遥感信息工程国家重点实验室,武汉 430079
  • 收稿日期:2019-10-15 修回日期:2019-11-20 出版日期:2019-12-25 发布日期:2019-12-25
  • 通讯作者: 李德仁 E-mail:drli@whu.edu.cn
  • 作者简介:李德仁(1939-),男,江苏镇江人,中国科学院院士,中国工程院院士,国际欧亚科学院院士,国际宇航科学院院士,主要从事以遥感、全球卫星定位系统和地理信息系统为代表的空间信息科学与技术的科研与教学工作, 并推进地理国情监测、数字城市与数字中国、智慧城市与智慧中国的研究及相关建设。E-mail: drli@whu.edu.cn

The Intelligent Processing and Service of Spatiotemporal Big Data

LI Deren*()   

  1. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China
  • Received:2019-10-15 Revised:2019-11-20 Online:2019-12-25 Published:2019-12-25
  • Contact: LI Deren E-mail:drli@whu.edu.cn

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

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!

Key words: Spatiotemporal big data, intelligent processing, social application, PNTRC