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Adaptive optics based on machine learning: a review
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DOI：10.29026/oea.2022.200082.png)
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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.
Keyword:
adaptive optics
machine learning
deep learning
期刊
IF:
22.4
论文数:
413
被引数:
3.6K
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