Swin Transformer for simultaneous denoising and interpolation of seismic data
L Gao, H Shen, F Min - Computers & Geosciences, 2024 - Elsevier
Seismic data are often characterized by low quality due to noise contamination or missing
traces. Convolutional neural networks are popular in dealing with denoising and …
traces. Convolutional neural networks are popular in dealing with denoising and …
Seismic data interpolation via Unet with non-local blocks
J Cao, L Fu, W Fang, M Wu - Exploration Geophysics, 2024 - Taylor & Francis
Due to the constraints of the exploration environment, acquired seismic data are commonly
irregular or incomplete, which seriously affects the quality of subsequent seismic data …
irregular or incomplete, which seriously affects the quality of subsequent seismic data …
Orthogonal dictionary learning based on l4-Norm maximisation for seismic data interpolation
J Yue, L Fu, X Niu, W Fang - Exploration Geophysics, 2023 - Taylor & Francis
Due to geological conditions, acquisition environment, and economic restrictions, acquired
seismic data are often incomplete and irregularly distributed, and this affects subsequent …
seismic data are often incomplete and irregularly distributed, and this affects subsequent …