摘要
从星地数传、高时敏任务等对星上遥感影像在轨处理的需求出发,本文对美国、欧洲以及国内主要的星上遥感影像在轨处理进展进行了研究;以此为基础,结合星上遥感影像在轨处理框架与深度学习等智能处理技术,分析了高性能星上智能处理平台构建、基于深度学习的遥感影像在轨智能处理、多源遥感影像数据在轨融合处理、星地协同数据处理及在轨更新等星上遥感影像在轨处理关键技术;最后,对星上遥感影像在轨处理未来发展趋势进行了总结,为进一步提升遥感卫星在轨应用效能提供参考。
According to the requirements of on-orbit processing of satellite remote sensing images for satellite-earth data transmission and high-time-sensitive missions,this paper studies the main on-orbit processing progress of satellite remote sensing images in USA,Europe and China.On this basis,combined with on-orbit remote sensing image processing framework and intelligent processing technologies,such as deep learning,the key technologies of on-orbit remote sensing image processing,including the construction of high-performance intelligent processing platform,on-orbit intelligent processing of remote sensing image based on deep learning,on-orbit information fusion processing of multi-source remote sensing image data,satellite-earth collaborative data processing and on-orbit update,are analyzed.Finally,the future development trend of on-orbit processing of satellite remote sensing images is summarized,which provides a reference for further improving the on-orbit application efficiency of remote sensing satellites.
作者
杨宁
朱其星
伍攀峰
王允森
安剑
孙福磊
YANG Ning;ZHU Qixing;WU Panfeng;WANG Yunsen;AN Jian;SUN Fulei(Shandong Institute of Space Electronic Technology,Yantai 264670,China)
出处
《空间电子技术》
2023年第4期1-8,共8页
Space Electronic Technology
基金
装发重点实验室基金项目(编号:61425040205)。
关键词
遥感影像
在轨处理
人工智能
深度学习
信息融合
remote sensing image
on-orbit processing
artificial intelligence
deep learning
information fusion
