Adaptive optics based on machine learning: a review

Youming Guo et al · Editorial Office of Opto-Electronic Journals Group, Institute of Optics and Electronics, CAS, China · 2022

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Author / responsible party

Youming Guo et al

Publisher

Editorial Office of Opto-Electronic Journals Group, Institute of Optics and Electronics, CAS, China

Year

2022

ISSN

2096-4579

ISSN

2096-4579

Language

English

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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 intelligence, adaptive optics will be boosted dramatically. In this paper, the recent advances on almost all aspects of adaptive 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.

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APA 7

al, Y. G. E. (2022). Adaptive optics based on machine learning: a review. https://doi.org/10.29026/oea.2022.200082

MLA

al, Youming Guo et. "Adaptive optics based on machine learning: a review." 2022. https://doi.org/10.29026/oea.2022.200082.

Chicago

al, Youming Guo et. 2022. "Adaptive optics based on machine learning: a review.". https://doi.org/10.29026/oea.2022.200082.

Harvard

al, Y. G. E. 2022, Adaptive optics based on machine learning: a review, Editorial Office of Opto-Electronic Journals Group, Institute of Optics and Electronics, CAS, China, available at: https://doi.org/10.29026/oea.2022.200082 [Accessed 5 Aug. 2026].

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Title: Adaptive optics based on machine learning: a review

Author / contributors: Youming Guo et al

Publisher: Editorial Office of Opto-Electronic Journals Group, Institute of Optics and Electronics, CAS, China

Publication year: 2022

ISSN: 2096-4579

ISSN: 2096-4579

Language: English

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adaptive optics; machine learning; deep learning