Dr. Ketao Yan Profile

Dr. Ketao Yan

at Shanghai Univ

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Publications (5)

Proceedings Article | 15 February 2024 Paper

Phase shift error estimation based on deep learning

Xinhao Huang, Jiaxing Shen, Yiqing Cao, Qingqing Meng, Ketao Yan

Proceedings Volume 13069, 1306917 (2024) https://doi.org/10.1117/12.3024081

KEYWORDS: Phase shifts, Interferograms, Error analysis, Signal to noise ratio, Deep learning, Zernike polynomials, Phase retrieval, Convolutional neural networks, Phase interferometry

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Proceedings Article | 17 April 2020 Paper

Multi-surface phase separation based on wavelength-tuning phase-shifting interferometry

Lin Chang, Ketao Yan, Weiwei Zheng, Tao Sun, Yingjie Yu

Proceedings Volume 11455, 1145525 (2020) https://doi.org/10.1117/12.2563488

KEYWORDS: Phase shifts, Phase interferometry, Photovoltaics, Error analysis, Reflection, Fringe analysis, Analytical research, Sun, Mechatronics, Optical metrology

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Proceedings Article | 16 October 2019 Paper

Fringe pattern filtering using convolutional neural network

Ketao Yan, Jiaqi Shi, Tao Sun, Jiaxing Li, Yingjie Yu

Proceedings Volume 11205, 112050O (2019) https://doi.org/10.1117/12.2542401

KEYWORDS: Fringe analysis, Denoising, Convolutional neural networks, Interferometry

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Proceedings Article | 16 October 2019 Paper

Denoising in spatial particle tomography on multi-layer holography reconstruction by deep learning

Jiaxing Li, Xiaoyan Wu, Ketao Yan, Yingjie Yu

Proceedings Volume 11205, 112051B (2019) https://doi.org/10.1117/12.2541651

KEYWORDS: Holography, Denoising, Particles, Neural networks, Convolution, 3D image reconstruction, Tomography, Digital filtering, Data modeling, Gaussian filters

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Proceedings Article | 24 July 2018 Paper

Neural networks for interferograms recognition

Ketao Yan, Yingjie Yu, Jiaxing LI

Proceedings Volume 10827, 108273Q (2018) https://doi.org/10.1117/12.2501152

KEYWORDS: Neural networks, Zernike polynomials, Monochromatic aberrations, Fringe analysis, Convolution, Evolutionary algorithms, Wavefronts, Statistical modeling, Detection and tracking algorithms, Algorithm development

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