Yun-Hong Wang

Seismic Random Noise Attenuation via Implicit Neural Representations With Multiple Structural Priors

Seismic data are inevitably contaminated by random noise arising from various sources, which seriously degrades the quality of subsequent data processing, inversion, and interpretation. Deep learning has emerged as an effective approach for seismic random noise attenuation. However, these methods are often susceptible...