Research Progress on Models, Algorithms, and Systems for Remote Sensing Spatial-Temporal Big Data Processing

Yang Liu; Lanxue Dang; Shenshen Li; Kun Cai; Xianyu Zuo

doi:10.1109/JSTARS.2021.3085893

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (Jan 2021)

Research Progress on Models, Algorithms, and Systems for Remote Sensing Spatial-Temporal Big Data Processing

Yang Liu,
Lanxue Dang,
Shenshen Li,
Kun Cai,
Xianyu Zuo

Affiliations

Yang Liu: ORCiD; Henan Engineering Laboratory of Spatial Information Processing, Henan Key Laboratory of Big Data Analysis and Processing, School of Computer and Information Engineering, Henan University, Kaifeng, China
Lanxue Dang: ORCiD; Henan Engineering Laboratory of Spatial Information Processing, Henan Key Laboratory of Big Data Analysis and Processing, School of Computer and Information Engineering, Henan University, Kaifeng, China
Shenshen Li: ORCiD; State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
Kun Cai: ORCiD; Henan Engineering Laboratory of Spatial Information Processing, Henan Key Laboratory of Big Data Analysis and Processing, School of Computer and Information Engineering, Henan University, Kaifeng, China
Xianyu Zuo: ORCiD; Henan Engineering Laboratory of Spatial Information Processing, Henan Key Laboratory of Big Data Analysis and Processing, School of Computer and Information Engineering, Henan University, Kaifeng, China

DOI: https://doi.org/10.1109/JSTARS.2021.3085893
Journal volume & issue: Vol. 14
pp. 5918 – 5931

Abstract

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With the rapid development of high-resolution earth observation systems, the data processing, algorithm design, and system development of remote sensing spatial-temporal big data (RS-STBD) have gradually become the bottleneck problems in the application and development of earth observation system. The research on the model, algorithm, and system of RS-STBD processing involves complex scientific problems, technical bottlenecks, and inconstant requirements of engineering applications. This article summarizes the data type and processing theory model of RS-STBD, the high-performance algorithm design based on cloud service and intelligent computing, and the architecture design and engineering development methods of the complex remote sensing application system. Furthermore, the existing problems in the current research are analyzed, and the related solutions are given. Finally, the future development trend of scientific exploration, technical research, and application development of RS-STBD has prospected.

Published in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

ISSN: 1939-1404 (Print); 2151-1535 (Online)
Publisher: IEEE
Country of publisher: United States
LCC subjects: Technology: Ocean engineering; Science: Physics: Geophysics. Cosmic physics
Website: https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=4609443

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Abstract

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