大数据 ›› 2022, Vol. 8 ›› Issue (2): 15-27.doi: 10.11959/j.issn.2096-0271.2022013

• 专题:空天大数据 • 上一篇    

遥感卫星大数据高精度一体化处理技术

仇晓兰1, 胡玉新1, 上官松涛2, 付琨1   

  1. 1 中国科学院空天信息创新研究院,北京 100190
    2 苏州空天信息研究院,江苏 苏州 215123
  • 出版日期:2022-03-01 发布日期:2022-03-01
  • 作者简介:仇晓兰(1982- ),女,博士,中国科学院空天信息创新研究院研究员,主要研究方向为SAR信号处理与信息提取
    胡玉新(1981- ),男,博士,中国科学院空天信息创新研究院研究员,主要研究方向为空间信息处理系统技术
    上官松涛(1993- ),男,博士,苏州空天信息研究院助理研究员,主要研究方向为SAR大数据分析与质量评价
    付琨(1974- ),男,博士,中国科学院空天信息创新研究院研究员,主要研究方向为空天信息处理与应用技术研究
  • 基金资助:
    国家自然科学基金资助项目(61725105);国家自然科学基金资助项目(62022082)

Remote sensing satellite big data high-recision integration processing technology

Xiaolan QIU1, Yuxin HU1, Songtao SHANGGUAN2, Kun FU1   

  1. 1 Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China
    2 Suzhou Aerospace Information Research Institute, Suzhou 215123, China
  • Online:2022-03-01 Published:2022-03-01
  • Supported by:
    The National Natural Science Foundation of China(61725105);The National Natural Science Foundation of China(62022082)

摘要:

我国空天信息获取技术飞速发展,空天数据呈现出数据量大、种类多、增长快、价值密度相对较低的大数据特点。遥感卫星数据是空天大数据的重要组成部分,如何利用遥感卫星数据的规模效应和异构数据互补优势,提升处理精度并提高处理效率,是遥感卫星大数据处理系统需要解决的关键问题。简要回顾了我国遥感卫星数据地面处理系统的发展历程,指出了地面处理系统面临的核心难点,提出了基于稳定特性挖掘的遥感卫星大数据高精度处理技术的思路,并给出了初步的实现方法,以期为我国空天大数据处理系统的发展提供有益参考。

关键词: 遥感卫星大数据, 地面处理系统, 大数据稳定特性挖掘, 高效处理架构

Abstract:

With the rapid development of China’s aerospace information acquisition technology, aerospace data presents the characteristics of large data volume, large number of types, rapid growth and relatively low value density.Remote sensing satellite data is an important part of aerospace big data.How to make use of the scale effect and the complementary advantages of the data of different satellites, so as to improve the processing accuracy and efficiency, is the key problem to be solved in the remote sensing satellite big data processing system.The development history of our country’s remote sensing satellite ground data processing system was reviewed briefly.The core difficulties faced by the ground processing system were pointed out.A high-precision processing technology for remote sensing satellite big data based on stability feature mining was proposed.And a preliminary implementation was given.The method provides a useful reference for the development of our country’s aerospace big data processing system.

Key words: remote sensing satellite big data, ground processing system, big data stability feature mining, efficient processing architecture

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