基于DC-UNet卷积神经网络的强噪声压制方法

周慧, 孙成禹, 刘英昌, 蔡瑞乾

A method for strong noise suppression based on DC-UNet

ZHOU Hui, SUN Cheng-Yu, LIU Ying-Chang, CAI Rui-Qian

图13 比较30训练轮后的实际地震数据去噪结果及对应的F-K谱 a—实际含噪地震数据;b—U-Net去噪结果;c—DC-UNet去噪结果;d—含噪数据的F-K谱;e—U-Net去噪结果的F-K谱;f—DC-UNet去噪结果的F-K谱

Fig.13 Compare the actual seismic data denoising results after the 30 training and the corresponding F-K spectrum a—actual noisy seismic data;b—U-Net denoising results;c—DC-UNet denoising results;d—F-K spectra of noisy data;e—F-K spectra of U-Net denoising results;f—F-K spectra of DC-UNet denoising results