Zobrazeno 1 - 7
of 7
pro vyhledávání: '"xiafei ma"'
Publikováno v:
IEEE Photonics Journal, Vol 16, Iss 5, Pp 1-6 (2024)
It is a crucial issue to realize real-time piston correction in the area of sparse aperture imaging. This paper demonstrates that an optical diffractive neural network is capable of achieving light-speed piston sensing. By using detectable intensity
Externí odkaz:
https://doaj.org/article/6fbc1c9d90964194a69727d6d24da1ec
Publikováno v:
IEEE Photonics Journal, Vol 14, Iss 4, Pp 1-5 (2022)
The image-based piston sensing method using the convolutional neural network (CNN) is an advanced technique which has good applicability. However, acquiring a large amount of the training dataset required to train a network is difficult to handle in
Externí odkaz:
https://doaj.org/article/f52dfb0484984d3495b25ac5e6280d14
Autor:
Zongliang Xie, Kaiyuan Yang, yang liu, tianrong xu, Botao Chen, xiafei ma, yong ruan, Haotong Ma, feng du, Jiang Bian, Dun Liu, Lihua Wang, Tao Tang, Jiawei Yuan, ren ge, bo qi, Hu Yang
Publikováno v:
Photonics Research.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3aa7b732c8200b9ad214072fa33fdf79
https://doi.org/10.1364/prj.486637
https://doi.org/10.1364/prj.486637
It is a crucial issue to realize real-time piston correction in the area of sparse aperture imaging. This paper introduces an optical diffractive neural network-based piston sensing method, which can achieve light-speed sensing. By using detectable i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b4ff2658e65d64be56abc95f15ff6f30
http://arxiv.org/abs/2212.07009
http://arxiv.org/abs/2212.07009
Publikováno v:
Encyclopedia of Ocean Engineering ISBN: 9789811069635
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6a2ada8cc49ff3939c96e6be67413a6d
https://doi.org/10.1007/978-981-10-6946-8_63
https://doi.org/10.1007/978-981-10-6946-8_63
Publikováno v:
Encyclopedia of Ocean Engineering ISBN: 9789811069635
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c44cc45a276369792ab43569e16cb67
https://doi.org/10.1007/978-981-10-6963-5_62-1
https://doi.org/10.1007/978-981-10-6963-5_62-1
Publikováno v:
Optics Express. 27:16058
The pistons of sparse aperture systems need to be controlled within a fraction of a wavelength for the system's optimal imaging performance. In this paper, we demonstrate that deep learning is capable of performing piston sensing with a single wide-b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::23f3543e03b2a64cd57b58fb4784ee5b
https://doi.org/10.1364/oe.27.016058
https://doi.org/10.1364/oe.27.016058