Big Data Research ›› 2022, Vol. 8 ›› Issue (2): 28-57.doi: 10.11959/j.issn.2096-0271.2022014

• TOPOC: AEROSPACE BIG DATA • Previous Articles     Next Articles

A survey on information extraction technology based on remote sensing big data

Weiquan LIU1,2, Cheng WANG1,2, Yu ZANG1,2, Qian HU1,2, Shangshu YU1,2, Baiqi LAI1,2   

  1. 1 School of Informatics, Xiamen University, Xiamen 361005, China
    2 Fujian Key Laboratory of Sensing and Computing for Smart City, Xiamen 361005, China
  • Online:2022-03-15 Published:2022-03-01
  • Supported by:
    The National Natural Science Foundation of China(61971363);The National Natural Science Foundation of China(U1605254);China Postdoctoral Science Foundation(2021M690094)

Abstract:

With the rapid development of remote sensing technology, our country has established a relatively complete space remote sensing and flexible and diverse aerial remote sensing data acquisition system.Remote sensing big data is mainly based on massive remote sensing data, integrating other multi-source remote sensing data, using big data thinking and methods, and discovering knowledge laws and high-value information in massive data.Firstly, the research work of information extraction technology based on remote sensing big data was reviewed in recent years.Secondly, the development history of remote sensing information extraction technology was expounded from three aspects: remote sensing target detection, remote sensing surface object segmentation, and remote sensing change detection.Finally, the information extraction technology based on remote sensing big data was sorted out, summarized and prospected.

Key words: remote sensing big data, object detection, ground object segmentation, change detection

CLC Number: 

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