Low signal-to-noise ratio spectral interferometry film thickness measurement based on self-attention neural network
Modern Applied Optics|更新时间:2025-07-03
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Low signal-to-noise ratio spectral interferometry film thickness measurement based on self-attention neural network
“In the field of thin film thickness measurement, researchers have proposed a measurement method based on self attention neural networks, which effectively improves the measurement stability of low signal-to-noise ratio spectral data.”
Optics and Precision EngineeringVol. 33, Issue 9, Pages: 1341-1352(2025)
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.
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.
Low signal-to-noise ratio spectral interferometry film thickness measurement based on self-attention neural network