遥感卫星任务智能决策的机器学习方法研究OA北大核心CSTPCD

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.