您当前的位置:
首页 >
文章列表页 >
Low signal-to-noise ratio spectral interferometry film thickness measurement based on self-attention neural network
Modern Applied Optics | 更新时间:2025-07-04
    • Low signal-to-noise ratio spectral interferometry film thickness measurement based on self-attention neural network

    • 在薄膜厚度测量领域,专家提出了基于自注意力神经网络的测量方法,有效提升低信噪比光谱数据的测量稳定性。
    • Optics and Precision Engineering   Vol. 33, Issue 9, Pages: 1341-1352(2025)
    • DOI:10.37188/OPE.20253309.1341    

      CLC: TH741
    • CSTR:32169.14.OPE.20253309.1341    
    • Received:03 March 2025

      Revised:25 March 2025

      Published:10 May 2025

    移动端阅览

  • WANG Chen,WANG Zizheng,LIU Zhaoran,et al.Low signal-to-noise ratio spectral interferometry film thickness measurement based on self-attention neural network[J].Optics and Precision Engineering,2025,33(09):1341-1352. DOI: 10.37188/OPE.20253309.1341. CSTR: 32169.14.OPE.20253309.1341.

  •  
  •  

0

Views

12

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Full-field heterodyne dynamic interferometric measurement with double-prism configuration
Performance simulation and wavefront measurement of telescope at cryogenic temperature
Improvement method for type A uncertainty of interferometric gravimeter

Related Author

JIAO Qilu
ZHU Conghui
LYU Tong
WU Zhou
ZHANG Wenxi
SONG Junru
TONG Weiming
JIN Zhongrui

Related Institution

Aerospace Information Research Institute,Chinese Academy of Sciences
School of Optoelectronics,University of Chinese Academy of Sciences
Beijing Institute of Space Mechanics & Electricity
Division of Time and Frequency, National Institute of Metrology
0