典型文献
Adaptive optics based on machine learning:a review
文献摘要：
Adaptive optics techniques have been developed over the past half century and routinely used in large ground-based telescopes for more than 30 years. Although this technique has already been used in various applications, the basic setup and methods have not changed over the past 40 years. In recent years, with the rapid development of artificial in-telligence, adaptive optics will be boosted dramatically. In this paper, the recent advances on almost all aspects of adapt-ive optics based on machine learning are summarized. The state-of-the-art performance of intelligent adaptive optics are reviewed. The potential advantages and deficiencies of intelligent adaptive optics are also discussed.
文献关键词：
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作者姓名：
Youming Guo;Libo Zhong;Lei Min;Jiaying Wang;Yu Wu;Kele Chen;Kai Wei;Changhui Rao
作者机构：
The Key Laboratory on Adaptive Optics,Chinese Academy of Sciences,Chengdu 610209,China;The Laboratory on Adaptive Optics,Institute of Optics and Electronics,Chinese Academy of Sciences,Chengdu 610209,China;University of Chinese Academy of Sciences,Beijing 100049,China
文献出处：
引用格式：
[1]Youming Guo;Libo Zhong;Lei Min;Jiaying Wang;Yu Wu;Kele Chen;Kai Wei;Changhui Rao-.Adaptive optics based on machine learning:a review)[J].光电进展（英文版）,2022(07):32-51
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0.559513
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