Piston sensing of sparse aperture systems with a single broadband image via deep learning
文献类型：期刊论文
| 作者 | Ma, Xiafei1,2,3; Xie, Zongliang1,2,3,4; Ma, Haotong1,2,3; Xu, Yangjie1,2,3; Ren, Ge1,2,3; Liu, Yang1,2,3 |
| 刊名 | Optics Express
 |
| 出版日期 | 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 |
| WOS记录号 | WOS:000469227200081 |
| 出版者 | OSA - The Optical Society |
| 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. |
入库方式： OAI收割
来源：光电技术研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。