Wen Xu1,2,3, Dong Zhao1,2,3, Baoding Zhu2,4

  • 1Key Laboratory of Exploration Technologies for Oil and Gas Resources and the School of Geophysics and Petroleum Resources, Yangtze University, Wuhan, 430100, China.

Scientific reports
|December 18, 2025
PubMed
概括

这项研究引入了两个卷积神经网络 (CNN),U-Net和DnCNN,以从通过聚焦离子束扫描电子显微镜 (FIB-SEM) 获得的3D纳米数字岩石图像中去除"窗噪声". 两种CNN都显著提高了图像质量和孔径估计的准确性.

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