Seismic data denoising is a crucial and challenging task for high-quality seismic exploration. Recent advancements in deep learning methods have demonstrated promising results in seismic denoising.

The model uses multiple image modalities and applies prostate zone segmentation, normalization, and data augmentation as preprocessing steps. The performance of SAM-UNETR is compared with three other ...