火力与指挥控制2025，Vol.50Issue(6)：13-20,8.DOI:10.3969/j.issn.1002-0640.2025.06.002
非合作航天器意图识别的机器学习方法
A Machine Learning Approach to Noncooperative Spacecraft Intent Recognition
摘要
Abstract
With the development of space technology,it becomes more and more important to protect space assets.The intention identification of non-cooperative spacecraft is one of the key technologies to protect space assets.The traditional method of reasoning intention based on target feature state requires a large amount of domain expert knowledge to quantify the weight and prior probability of feature state and to clarify the corresponding relationship between feature state and intention,while machine learning can train rules between feature state and intention based on a large number of labeled data sets under the condition of insufficient domain expert knowledge.The intent of non-cooperative targets can be quickly identified.关键词
意图识别/机器学习/非合作航天器/领域专家Key words
intention recognition/machine learning/non-cooperative spacecraft/domain expert分类
航空航天引用本文复制引用
伏立峰,朱阅訸,李海阳..非合作航天器意图识别的机器学习方法[J].火力与指挥控制,2025,50(6):13-20,8.基金项目
国家自然科学基金资助项目(12102460) （12102460）
