1 citations · 1 across the 3 of their papers we have counts for
4 papers
Parameter-Efficient Adaptation of Pre-Trained Vision Foundation Models for Active and Passive Seismic Data Denoising
Jiahua Zhao, Umair bin Waheed, Jing Sun +3
The demand for high-resolution subsurface imaging and continuous Earth monitoring has driven rapid growth in active and passive seismic data from dense geophone deployments, distri…
Physics-Driven Self-Supervised Deep Learning for Free-Surface Multiple Elimination
Jing Sun, Tiexing Wang, Eric Verschuur +1
In recent years, deep learning (DL) has emerged as a promising alternative approach for various seismic processing tasks, including primary estimation (or multiple elimination), a…
Recursive Interferometric Surface-wave Suppression For Improved Reflection Imaging
Faezeh Shirmohammadi, Deyan Draganov, Ranajit Ghose +3
High-resolution seismic reflections are essential for imaging and monitoring applications. In seismic land surveys using sources and receivers at the surface, surface waves often d…
Application of Marchenko-based isolation to a land S-wave seismic dataset
Faezeh Shirmohammadi, Deyan Draganov, Johno van IJsseldijk +4
The overburden structures often can distort the responses of the target region in seismic data, especially in land datasets. Ideally, all effects of the overburden and underburden…