Key Technologies on “Cloud-Edge-End” Collaborative Intelligent Service of Low-Orbit Giant Constellation

被引：0
|
作者：
Wang M. [1 ]
Wu Q. [1 ]
Xiao J. [2 ]
Yang C. [2 ]
机构：
[1] State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan
[2] School of Computer Science, Wuhan University, Wuhan
来源：
Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University | 2023年 / 48卷 / 08期
关键词：
cloud-edge-end; intelligent service; low-orbit giant constellation; remote sensing;
D O I：
10.13203/j.whugis20220767
中图分类号：
学科分类号：
摘要：
Objectives: The low-orbit giant constellation is an important new infrastructure of the country, and it is also the frontier and hot spot of the current development of the aerospace field. Methods: In this paper, through the “cloud-edge-end” dynamic optimization collaboration of satellite clusters and ground resources, the key issues of cloud-edge-end collaborative intelligent service for low-orbit giant constellation are studied. Focusing on the goal of one satellite multi-purpose, star cluster networking, collaborative sensing, autonomous control, and intelligent service, we analyze the key technologies such as intelligent control and high-precision processing of ground center cloud, collaborative observation and fusion processing of space-based edge cloud, real-time processing and intelligent service of satellite and user. Results and Conclusions: Based on the characteristics of observation targets, we have formed a“cloud-edge-end”collaborative intelligent service model for real-time tasks, which can provide fast, accurate and flexible space-time continuous information service for typical real-time application scenarios, and realize the leapfrog development of intelligent earth observation. © 2023 Wuhan University. All rights reserved.
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页码：1256 / 1263
页数：7
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