An anomaly detection method for satellite based on correlation probability model

中国科学院大学学报 Pub Date : 2021-05-17 DOI:10.7523/J.ISSN.2095-6134.2021.03.015

Sun Yuhao, Liu Guotong, Zhang Ge

引用次数: 0

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基于相关概率模型的卫星异常检测方法

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中国科学院大学学报

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2860

期刊介绍： Journal of University of Chinese Academy of Sciences (bimonthly) is an academic journal under the supervision of the Chinese Academy of Sciences and sponsored by the University of Chinese Academy of Sciences. Founded in 1984, the journal mainly publishes excellent papers in the fields of basic and technical sciences from researchers, teachers and postgraduates of the institutes of the Chinese Academy of Sciences, the University of the Chinese Academy of Sciences, and other institutions of higher learning and research. The contents of the journal include high-level review articles (special edition), innovative research articles and brief reports on basic and applied research in the fields of mathematics, science, chemistry, astronomy, geography, biology, environment, materials, electronics and computers, etc. The journal welcomes papers in Chinese or English. The journal welcomes submissions using Chinese or English manuscripts. Accepted: Chinese Science and Technology Comprehensive Core Journals (Peking University) Chinese Science and Technology Core Journals (Ministry of Science and Technology) Chinese Science Citation Database Core Journals (Chinese Academy of Sciences)