Unsupervised erratic noise suppression in prestack seismic gathers via PnP-ADMM with implicit neural representation
Erratic noise in seismic data is characterized by high amplitude, non-Gaussian behavior and spatial incoherence, making it difficult to suppress using conventional filtering or supervised learning methods, which rely on statistical assumptions or access to clean ground truth. This paper introduces a novel unsupervise...