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

• TOPOC: AEROSPACE BIG DATA • Previous Articles     Next Articles

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:2022-03-15 Published:2022-03-01
  • Supported by:
    The National Natural Science Foundation of China(61725105);The National Natural Science Foundation of China(62022082)

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

CLC Number: 

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