星上遥感影像在轨处理进展研究

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。

Research on the progress of on-orbit processing of satellite remote sensing images

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.