航天器工程2024，Vol.33Issue(4)：1-10,10.DOI:10.3969/j.issn.1673-8748.2024.04.001
遥感卫星任务智能决策的机器学习方法研究
Research on Machine Learning Method for Intelligent Decision-making of Remote Sensing Satellite Mission
杨芳 1景丽萍 2黄敏 1陈雄姿 1田帅虎 1王抒雁 1张宝昕2
作者信息
- 1. 航天东方红卫星有限公司,北京 100094
- 2. 北京交通大学 交通数据分析与挖掘北京市重点实验室,北京 100044
- 折叠
摘要
Abstract
Based on the characteristics of remote sensing satellite mission decision-making,the machine learning method is studied to analyze and train a large amount of actions,commands and telemetry data generated during mission execution.In order to establish a machine learning me-thod for remote sensing satellite mission,the feasibility of machine learning assisted intelligent mission decision-making of remote sensing satellite is explored,and the adaptability and proces-sing efficiency of machine learning methods for satellite mission data are also discussed.The ma-ture machine learning framework of ground-related artificial intelligence systems is used for refe-rence to research the establishment of machine learning method for intelligent decision-making of remote sensing satellite mission.An example of machine learning for remote sensing satellite mission is provided in this paper.The research result shows that machine learning methods have strong adaptability and have initially achieved satellite intelligent mission decision-making with certain level of accuracy,which is a beneficial exploration for intelligent decision-making techno-logy of satellite mission.关键词
遥感卫星/任务智能决策/机器学习/样本模型Key words
remote sensing satellite/intelligent decision-making of mission/machine learning/sam-ple model分类
航空航天引用本文复制引用
杨芳,景丽萍,黄敏,陈雄姿,田帅虎,王抒雁,张宝昕..遥感卫星任务智能决策的机器学习方法研究[J].航天器工程,2024,33(4):1-10,10.
