Centroid computation for Shack-Hartmann wavefront sensor in extreme situations based on artificial neural networks
文献类型：期刊论文
| 作者 | Li, Ziqiang1,2,3; Li, Xinyang1,2 |
| 刊名 | OPTICS EXPRESS
 |
| 出版日期 | 2018-11-26 |
| 卷号 | 26期号:24页码:31675-31692 |
| 关键词 | Adaptive optics Light Noise pollution Signal to noise ratio Wavefronts |
| ISSN号 | 1094-4087 |
| DOI | 10.1364/OE.26.031675 |
| 文献子类 | J |
| 英文摘要 | This paper proposes a method used to calculate centroid for Shack-Hartmann wavefront sensor (SHWFS) in adaptive optics (AO) systems that suffer from strong environmental light and noise pollutions. In these extreme situations, traditional centroid calculation methods are invalid. The proposed method is based on the artificial neural networks that are designed for SHWFS, which is named SHWFS-Neural Network (SHNN). By transforming spot detection problem into a classification problem, SHNNs first find out the spot center, and then calculate centroid. In extreme low signal-noise ratio (SNR) situations with peak SNR ( SAIR(p) ) of 3, False Rate of SHNN-50 (SHNN with 50 hidden layer neurons) is 6%, and that of SHNN-900 (SHNN with 900 hidden layer neurons) is 0%, while traditional methods' best result is 26 percent. With the increase of environmental light interference's power, the False Rate of SHNN-900 remains around 0%, while traditional methods' performance decreases dramatically. In addition, experiment results of the wavefront reconstruction are presented. The proposed SHNNs achieve significantly improved performance, compared with the traditional method, the Root Mean Square (RMS) of residual decreases from 0.5349 um to 0.0383 um. This method can improve SHWFS's robustness. (C) 2018 Optical Society of America under the terms of the OSA Open Access Publishing Agreement |
| WOS关键词 | SLOPE MEASUREMENTS ; ADAPTIVE OPTICS ; PREDICTION ; ALGORITHM |
| 语种 | 英语 |
| WOS记录号 | WOS:000451213200055 |
| 源URL | [http://ir.ioe.ac.cn/handle/181551/9347]  |
| 专题 | 光电技术研究所_自适应光学技术研究室（八室） |
| 作者单位 | 1.Key Laboratory on Adaptive Optics, Chinese Academy of Sciences, Chengdu, Sichuan; 610209, China; 2.Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu, Sichuan; 610209, China; 3.University of Chinese Academy of Sciences, Beijing; 100049, China |
| 推荐引用方式 GB/T 7714 | Li, Ziqiang,Li, Xinyang. Centroid computation for Shack-Hartmann wavefront sensor in extreme situations based on artificial neural networks[J]. OPTICS EXPRESS,2018,26(24):31675-31692. |
| APA | Li, Ziqiang,&Li, Xinyang.(2018).Centroid computation for Shack-Hartmann wavefront sensor in extreme situations based on artificial neural networks.OPTICS EXPRESS,26(24),31675-31692. |
| MLA | Li, Ziqiang,et al."Centroid computation for Shack-Hartmann wavefront sensor in extreme situations based on artificial neural networks".OPTICS EXPRESS 26.24(2018):31675-31692. |
入库方式： OAI收割
来源：光电技术研究所
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