宇航学报 ›› 2022, Vol. 43 ›› Issue (3): 259-270.doi: 10.3873/j.issn.1000-1328.2022.03.001

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成像卫星在轨智能处理技术研究进展

王兆魁,方青云,韩大鹏   

  1. 清华大学航天航空学院,北京 100084
  • 收稿日期:2021-07-26 修回日期:2021-09-14 出版日期:2022-03-15 发布日期:2022-03-15
  • 基金资助:
    国家自然科学基金(U20B2056);国家自然科学基金(11872034)

Research Progress of On orbit Artificial Intelligence Technology for Imaging Satellite

WANG Zhao kui, FANG Qing yun, HAN Da peng   

  1. School of Aerospace Engineering, Tsinghua University, Beijing 100084, Chin
  • Received:2021-07-26 Revised:2021-09-14 Online:2022-03-15 Published:2022-03-15

摘要: 从成像卫星在轨智能处理技术的重要性出发,分析了现阶段国内外研究现状,并总结了星上计算资源受限、实时性要求高、缺少大规模数据集、空间环境特殊性等在轨智能面临的主要挑战。针对问题,系统总结了智能算法、硬件平台和优化技术三个方面的相关技术,其中对于遥感目标智能检测算法,详细描述了数据集、模型架构、实时性等多个方面。最后,对成像卫星在轨智能处理技术未来发展进行了展望。

关键词: 人工智能, 在轨实现, 优化技术, 目标检测

Abstract: The importance of the on orbit artificial intelligence technology for imaging satellite and the current research status are analyzed in this paper. Restricted computing power, high real time requirements, lack of large scale data sets, and special space environment are main challenges faced by the on orbit intelligence. Then the intelligent algorithms, hardware platforms, and optimization techniques are systematically summarized. As for the object detection, the remote sensing image data set, model architecture, real time and other aspects are introduced in detail. Finally, the future development of on orbit artificial intelligence technology for imaging satellite are studied and discussed.

Key words: Artificial intelligence, On orbit implementation, Optimization technique, Object detection

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