quotation:[Copy]
[Copy]
【Print page】 【Download 【PDF Full text】 View/Add CommentDownload reader Close

←Previous page|Page Next →

Back Issue    Advanced search

This Paper:Browse 727   Download 263 本文二维码信息
码上扫一扫!
空天地一体化卫星互联网及其即时智能遥感应用展望
孙莉,仇翔,孙军帅
0
(中国星网网络创新研究院有限公司,北京 100029)
摘要:
首先,指出目前地面移动通信向着通感算一体、云网融合的6G方向发展,卫星通信向着低轨、大规模星座方向发展;未来卫星通信与地面移动通信融合发展,将形成空天地一体化卫星互联网,为用户提供立体无缝覆盖、无感知应用服务。然后,介绍了未来空天地一体化卫星互联网架构,通过它可形成云网融合、包括控制面和用户面在内的多个功能面的天地同架构融合形态。最后,基于架构设计对即时遥感应用在计算面和遥感目标智能识别在人工智能(Artificial Intelligence,AI)面的实现进行了展望,并建议我国应加快卫星互联网的建设步伐,早日实现卫星互联网的运行应用,为经济和国防助力。
关键词:  空天地一体化卫星互联网  即时遥感  智能遥感  架构设计  6G
DOI:10.20079/j.issn.1001-893x.240716001
基金项目:
Future Prospects of Air-Space-Ground Integrated Satellite Network and Its Real Time AI Remote Sensing Application
SUN Li,QIU Xiang,SUN Junshuai
(China Satellite Network Innovation Co.,Ltd.,Beijing 100029,China)
Abstract:
Firstly,it is pointed out that the ground mobile communication is developing towards the 6G direction,which integrates sensing and computing,and cloud network integration.The satellite communication is developing towards the low Earth orbit and large-scale constellation direction.In the future,the satellite communication will be coordinated with the ground mobile communication to form the air-space-ground integrated satellite network,providing three-dimensional seamless coverage and non-perception application service for the users.Then,the framework of future air-space-ground integrated satellite network is introduced,through which the air-space-ground integrated pattern of the cloud network integration and multiple function planes including control plane and user plane is formed.Finally,the realization of the real time remote sensing in the computing plane and the artificial intelligence(AI) target recognition of real time remote sensing in the AI plane are discussed.It is suggested that China should speed up the construction of the satellite network so as to realize the operation and application as soon as possible and help the economy and the national defense.
Key words:  air-space-ground integrated satellite network  real time remote sensing  AI remote sensing  framework design  6G