Piston sensing of sparse aperture systems with a single broadband image via deep learning

doi:10.1364/OE.27.016058

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	Piston sensing of sparse aperture systems with a single broadband image via deep learning
	Ma, Xiafei 1,2,3; Xie, Zongliang 1,2,3,4; Ma, Haotong 1,2,3; Xu, Yangjie 1,2,3; Ren, Ge 1,2,3; Liu, Yang 1,2,3
刊名	Optics Express
	2019-05-27
卷号	27 期号:11 页码:16058-16070
ISSN号	1094-4087
DOI	10.1364/OE.27.016058
文献子类	期刊论文
英文摘要	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-band image after appropriate training. Taking the sensing issue as a fitting task, the deep learning-based method utilizes a deep convolutional neural network to learn complex input-output mapping relations between the broadband intensity distributions and corresponding piston values. Given a trained network and one broadband focal intensity image as the input, the piston can be obtained directly and the capture range achieving the coherence length of the broadband light is available. Simulations and experiments demonstrate the validity of the proposed method. Using only in-focused broadband images as the inputs without defocus division and wavelength dispersion, obviously relaxes the optics complexity. In view of the efficiency and superiority, it's expected that the method proposed in this paper may be widely applied in multi-aperture imaging. © 2019 Optical Society of America.
WOS关键词	DISPERSED FRINGE SENSOR ; KECK TELESCOPES ; MIRROR SEGMENTS ; NEURAL-NETWORK ; OPTICS
WOS研究方向	Optics
语种	英语
出版者	OSA - The Optical Society
WOS记录号	WOS:000469227200081
内容类型	期刊论文
源URL	[http://ir.ioe.ac.cn/handle/181551/9767]
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.Key Laboratory of Optical Engineering, Chinese Academy of Sciences, Chengdu; 610209, China; 2.Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu; 610209, China; 3.University of Chinese Academy of Sciences, Beijing; 100039, China; 4.State Key Laboratory of Pulsed Power Laser Technology, Hefei; 230037, China
推荐引用方式 GB/T 7714	Ma, Xiafei,Xie, Zongliang,Ma, Haotong,et al. Piston sensing of sparse aperture systems with a single broadband image via deep learning[J]. Optics Express,2019,27(11):16058-16070.
APA	Ma, Xiafei,Xie, Zongliang,Ma, Haotong,Xu, Yangjie,Ren, Ge,&Liu, Yang.(2019).Piston sensing of sparse aperture systems with a single broadband image via deep learning.Optics Express,27(11),16058-16070.
MLA	Ma, Xiafei,et al."Piston sensing of sparse aperture systems with a single broadband image via deep learning".Optics Express 27.11(2019):16058-16070.