Satellite remote sensing and the integration of 6G communication and remote sensing

Wenjia XU; Yixu WANG; Mugen PENG

doi:10.11959/j.issn.1000-0801.2023089

您当前的位置：

首页 >

文章列表页 >

Satellite remote sensing and the integration of 6G communication and remote sensing

Research and Development | 更新时间：2024-06-05

- Satellite remote sensing and the integration of 6G communication and remote sensing
- Telecommunications Science Vol. 39, Issue 4, Pages: 60-70(2023)
- 作者机构：
- 作者简介：
- 基金信息：
  
  The National Key Research and Development Program of China(2021YFB2900200)
- DOI：10.11959/j.issn.1000-0801.2023089
  CLC： TP393
- Published Online：2023-04，
  
  Published：20 April 2023
- 稿件说明：
移动端阅览
Wenjia XU, Yixu WANG, Mugen PENG. Satellite remote sensing and the integration of 6G communication and remote sensing[J]. Telecommunications science, 2023, 39(4): 60-70.
DOI：

Wenjia XU, Yixu WANG, Mugen PENG. Satellite remote sensing and the integration of 6G communication and remote sensing[J]. Telecommunications science, 2023, 39(4): 60-70. DOI： 10.11959/j.issn.1000-0801.2023089.

摘要

卫星遥感是人类实现高分辨率对地观测的重要手段，已逐步成为支撑经济社会发展以及国防安全的重要组成。6G追求通信遥感计算深度融合，通信遥感一体化成为其重要的特征。回顾了国内外卫星遥感的发展历程，概述了卫星遥感系统现有的体系结构和6G时代通信遥感一体化体系架构，阐述了人工智能驱动的典型卫星遥感技术和最新研究进展。针对6G时代卫星通信遥感一体化的趋势，探讨了实现“一星多用、多星组网、多网融合、智能服务”组合型发展的技术挑战和发展趋势。

Abstract

Satellite remote sensing is an important means for humans to achieve high-resolution earth observation

and it has gradually become an important component supporting economic and social development as well as national defense and security.6G pursues deep integration of communication

perception

and computation

and communication and remote sensing integration has become an important feature of it.The development of satellite remote sensing at home and abroad were reviewed

the existing system architecture of satellite remote sensing systems and the integrated system architecture of communication and remote sensing in the 6G era were outlined

and the typical satellite remote sensing technologies and the latest research progress driven by artificial intelligence were elaborated on.In response to the trend of integrating satellite communication and remote sensing in the 6G era

the technical challenges and development trends of realizing the combination of “one satellite

multiple uses

multi-satellite networking

multi-network integration

and intelligent services” were discussed.

关键词

Keywords

references

周晓青 , 彭明媛 , 胡芬 . 我国陆地遥感卫星发展现状与展望 [J ] . 卫星应用 , 2022 ( 9 ): 14 - 19 .

ZHOU X Q , PENG M Y , HU F . Development status and prospect of land remote sensing satellites in China [J ] . Satellite Application , 2022 ( 9 ): 14 - 19 .

王成龙 , 赵倩 , 赵琰 , 等 . 基于深度可分离卷积的实时遥感目标检测算法 [J ] . 电光与控制 , 2022 , 29 ( 8 ): 45 - 49 .

WANG C L , ZHAO Q , ZHAO Y , et al . A real-time remote sensing target detection algorithm based on depth separable convolution [J ] . Electronics Optics ＆Control , 2022 , 29 ( 8 ): 45 - 49 .

李红光 , 王玉峰 , 杨丽春 , 等 . 基于元学习的小样本遥感图像目标检测 [J ] . 北京航空航天大学学报 , 2022 :10.13700/j.bh.10015965.2022.0637.

LI H G , WANG Y F , YANG L C , et al . Small sample remote sensing image target detection based on mmeta-learning [J ] . Journal Beijing University of Aeronautics and Astronautics , 2022 :10.13700/j.bh.10015965.2022.0637.

吴珏人 . 美商业遥感卫星军事应用研究 [D ] . 长沙:国防科技大学 , 2019 .

WU J R . Research on military application of commercial remote sensing satellites in the United States [D ] . Changsha:National University of Defense Technology , 2019 .

GUPTA R P . Remote sensing geology [M ] . Berlin : Springer , 2018 .

童庆禧 , 孟庆岩 , 杨杭 . 遥感技术发展历程与未来展望 [J ] . 城市与减灾 , 2018 ( 6 ): 2 - 11 .

TONG Q X , MENG Q Y , YANG H . Development course and future prospect of remote sensing technology [J ] . City and Disaster Reduction , 2018 ( 6 ): 2 - 11 .

ZHANG B , WU Y F , ZHAO B Y , et al . Progress and challenges in intelligent remote sensing satellite systems [J ] . IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing , 2022 , 15 : 1814 - 1822 .

王密 , 杨芳 . 智能遥感卫星与遥感影像实时服务 [J ] . 测绘学报 , 2019 , 48 ( 12 ): 1586 - 1594 .

WANG M , YANG F . Intelligent remote sensing satellite and remote sensing image real-time service [J ] . Acta GeodaeticaetCartographica Sinica , 2019 , 48 ( 12 ): 1586 - 1594 .

彭会湘 , 陈金勇 , 杨斌 , 等 . 6G 通信时代的卫星遥感系统展望 [J ] . 无线电工程 , 2020 , 50 ( 7 ): 523 - 529 .

PENG H X , CHEN J Y , YANG B , et al . Prospect of satellite remote sensing system in 6G communication [J ] . Radio Engineering , 2020 , 50 ( 7 ): 523 - 529 .

GIRSHICK R , . Fast R-CNN [C ] // Proceedings of 2015 IEEE International Conference on Computer Vision (ICCV) . Piscataway:IEEE Press , 2016 : 1440 - 1448 .

REDMON J , FARHADI A . YOLOv3:an incremental improvement [J ] . arXiv preprint , 2018 ,arXiv:1804.02767.

TANG L B , TANG W , QU X , et al . A scale-aware pyramid network for multi-scale object detection in SAR images [J ] . Remote Sensing , 2022 , 14 ( 4 ): 973 .

SHAO X T , WANG Q , YANG W , et al . Multi-scale feature pyramid network:aheavily occluded pedestrian detection network based on ResNet [J ] . Sensors (Basel,Switzerland) , 2021 , 21 ( 5 ): 1820 .

MCQUIRE S . One map to rule them all? Google Maps as digital technical object [J ] . Communication and the Public , 2019 , 4 ( 2 ): 150 - 165 .

YU D W , JI S P , LIU J , et al . Automatic 3D building reconstruction from multi-view aerial images with deep learning [J ] . ISPRS Journal of Photogrammetry and Remote Sensing , 2021 , 171 : 155 - 170 .

BOVOLO F , BRUZZONE L . A novel theoretical framework for unsupervised change detection based on CVA in polar domain [C ] // Proceedings of 2006 IEEE International Symposium on Geoscience and Remote Sensing . Piscataway:IEEE Press , 2007 : 379 - 382 .

JIA L , LI M , ZHANG P , et al . Remote-sensing image change detection with fusion of multiple wavelet kernels [J ] . IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing , 2016 , 9 ( 8 ): 3405 - 3418 .

傅绘锦 . 一种新的基于深度学习的遥感影像变化检测算法:H-BIT 方法的提出与应用 [J ] . 地理空间信息 , 2023 , 21 ( 1 ): 53 - 57 .

FU H J . A new remote sensing image change detection algorithm based on deep learning—H-BIT method and its application [J ] . Geospatial Information , 2023 , 21 ( 1 ): 53 - 57 .

SU Y Z , CHENG J , BAI H W , et al . Semantic segmentation of very-high-resolution remote sensing images via deep multi-feature learning [J ] . Remote Sensing , 2022 , 14 ( 3 ): 533 .

SUN H , LI S Y , ZHENG X T , et al . Remote sensing scene classification by gated bidirectional network [J ] . IEEE Transactions on Geoscience and Remote Sensing , 2020 , 58 ( 1 ): 82 - 96 .

MA A L , WAN Y T , ZHONG Y F , et al . SceneNet:remote sensing scene classification deep learning network using multi-objective neural evolution architecture search [J ] . ISPRS Journal of Photogrammetry and Remote Sensing , 2021 , 172 : 171 - 188 .

李德仁 , 王密 . 高分辨率光学卫星测绘技术综述 [J ] . 航天返回与遥感 , 2020 , 41 ( 2 ): 1 - 11 .

LI D R , WANG M . A review of high resolution optical satellite surveying and mapping technology [J ] . Spacecraft Recovery＆Remote Sensing , 2020 , 41 ( 2 ): 1 - 11 .

闫实 , 彭木根 , 王文博 . 通信-感知-计算融合:6G 愿景与关键技术 [J ] . 北京邮电大学学报 , 2021 , 44 ( 4 ): 1 - 11 .

YAN S , PENG M G , WANG W B . Integration of communication,sensing and computing:the vision and key technologies of 6G [J ] . Journal of Beijing University of Posts and Telecommunications , 2021 , 44 ( 4 ): 1 - 11 .

吴晓文 , 焦侦丰 , 凌翔 , 等 . 面向6G的卫星通信网络架构展望 [J ] . 电信科学 , 2021 , 37 ( 7 ): 1 - 14 .

WU X W , JIAO Z F , LING X , et al . Out look on satellite communications network architecture for 6G [J ] . Telecommunications Science , 2021 , 37 ( 7 ): 1 - 14 .

彭木根 , 张世杰 , 许宏涛 , 等 . 低轨卫星通信遥感融合：架构、技术与试验 [J ] . 电信科学 , 2022 , 38 ( 1 ): 13 - 24 .

PENG M G , ZHANG S J , XU H T , et al . Communication and remote sensing integrated LEO satellites:architecture,technologies and experiment [J ] . Telecommunications Science , 2022 , 38 ( 1 ): 13 - 24 .

李德仁 , 丁霖 , 邵振峰 . 面向实时应用的遥感服务技术 [J ] . 遥感学报 , 2021 , 25 ( 1 ): 15 - 24 .

LI D R , DING L , SHAO Z F . Application-oriented real-time remote sensing service technology [J ] . National Remote Sensing Bulletin , 2021 , 25 ( 1 ): 15 - 24 .

王静巧 , 车航宇 , 史小金 , 等 . 高低轨遥感卫星联合监测火灾模式分析 [J ] . 航天器工程 , 2019 , 28 ( 6 ): 101 - 105 .

WANG J Q , CHE H Y , SHI X J , et al . Analysis of fire modes for joint monitoring of high and low orbit remote sensing satellites [J ] . Spacecraft Engineering , 2019 , 28 ( 6 ): 101 - 105 .

李德仁 , 沈欣 . 我国天基信息实时智能服务系统发展战略研究 [J ] . 中国工程科学 , 2020 , 22 ( 2 ): 138 - 143 .

LI D R , SHEN X . Research on the development strategy of RealTime and intelligent space-based information service system in China [J ] . Strategic Study of CAE , 2020 , 22 ( 2 ): 138 - 143 .

Views

783

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Communication and remote sensing integrated LEO satellites:architecture, technologies and experiment

Related Author

Mugen PENG

Shijie ZHANG

Hongtao XU

Mengfei ZHANG

Yaohua SUN

Ying CHENG

Related Institution

State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications

YinheHangtian (Beijing) Technology Co., Ltd.

State Key Laboratory of Media Convergence Production Technology and System

⁰