Piston sensing for sparse aperture systems with broadband extended objects via a single convolutional neural network

doi:10.1016/j.optlaseng.2020.106005

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	Piston sensing for sparse aperture systems with broadband extended objects via a single convolutional neural network
	Ma, Xiafei 1,3,4; Xie, Zongliang 1,2,3,4; Ma, Haotong 1,3,4; Xu, Yangjie 1,3,4; He, Dong 1,3,4; Ren, Ge 1,3,4
刊名	Optics and Lasers in Engineering
	2020-05-01
卷号	128
关键词	Deep learning Piston sensing Sparse aperture systems
ISSN号	0143-8166
DOI	10.1016/j.optlaseng.2020.106005
文献子类	期刊论文
英文摘要	It is crucial for sparse aperture systems to preserve imaging quality, which can be addressed when fast corrections of pistons within a fraction of a wavelength are available. In this paper, we demonstrate that only a single deep convolutional neural network is sufficient to extract pistons from wide-band extended images once being appropriately trained. To eliminate the object characters, the feature vector is calculated as the input by a pair of focused and defocused images. This method possesses the capability of fine phasing with high sensing accuracy, and a large-scale capture range without the use of combined wavelengths. Simple and fast, the proposed technique might find wide applications in phasing telescope arrays or segmented mirrors. © 2020 The Authors
出版地	OXFORD
WOS关键词	PHASE-DIVERSITY ; MIRRORS ; SENSOR ; IMAGE ; ERROR ; ARRAY
WOS研究方向	Optics
语种	英语
出版者	ELSEVIER SCI LTD
WOS记录号	WOS:000534067900021
内容类型	期刊论文
源URL	[http://ir.ioe.ac.cn/handle/181551/10102]
专题	光电技术研究所_光电工程总体研究室（一室）
作者单位	1.The Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu; 610209, China; 2.State Key Laboratory of Pulsed Power Laser Technology, Hefei; 230037, China 3.University of Chinese Academy of Sciences, Beijing; 100039, China; 4.Key Laboratory of Optical Engineering, Chinese Academy of Sciences, Chengdu; 610209, China;
推荐引用方式 GB/T 7714	Ma, Xiafei,Xie, Zongliang,Ma, Haotong,et al. Piston sensing for sparse aperture systems with broadband extended objects via a single convolutional neural network[J]. Optics and Lasers in Engineering,2020,128.
APA	Ma, Xiafei,Xie, Zongliang,Ma, Haotong,Xu, Yangjie,He, Dong,&Ren, Ge.(2020).Piston sensing for sparse aperture systems with broadband extended objects via a single convolutional neural network.Optics and Lasers in Engineering,128.
MLA	Ma, Xiafei,et al."Piston sensing for sparse aperture systems with broadband extended objects via a single convolutional neural network".Optics and Lasers in Engineering 128(2020).