激光与光电子学进展, 2021, 58 (2): 0215009, 网络出版: 2021-01-11  

基于改进U-Net卷积神经网络的钢轨表面损伤检测方法 下载: 1132次

Rail Surface Damage Detection Method Based on Improved U-Net Convolutional Neural Network
作者单位
陕西科技大学机电工程学院, 陕西 西安 710021
引用该论文

梁波, 卢军, 曹阳. 基于改进U-Net卷积神经网络的钢轨表面损伤检测方法[J]. 激光与光电子学进展, 2021, 58(2): 0215009.

Bo Liang, Jun Lu, Yang Cao. Rail Surface Damage Detection Method Based on Improved U-Net Convolutional Neural Network[J]. Laser & Optoelectronics Progress, 2021, 58(2): 0215009.

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梁波, 卢军, 曹阳. 基于改进U-Net卷积神经网络的钢轨表面损伤检测方法[J]. 激光与光电子学进展, 2021, 58(2): 0215009. Bo Liang, Jun Lu, Yang Cao. Rail Surface Damage Detection Method Based on Improved U-Net Convolutional Neural Network[J]. Laser & Optoelectronics Progress, 2021, 58(2): 0215009.

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