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Updated: Jan 19, 2026

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基于隐式神经网络的煤SEM超分辨率,用于增强微孔测量任务.

Xiaowei An1, Shenghua Teng2, Zhuopeng Wang2

  • 1College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao, 266510, Shandong, China.

Neural networks : the official journal of the International Neural Network Society
|January 17, 2026
PubMed
概括

本研究引入了一种新的超分辨率 (SR) 框架,使用隐式神经表示和半方格分割优化来减少扫描电子显微镜 (SEM) 中的辐射损伤. 该方法提高了图像质量,并确保了精确测量的稳定性.

关键词:
测量煤炭微孔的测量方法隐含的神经表现隐含的神经表现交互式可解读的互动式超级分辨率的超级分辨率是什么

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