27 citations · 34 across the 4 of their papers we have counts for
4 papers
S2S-WTV: Seismic Data Noise Attenuation Using Weighted Total Variation Regularized Self-Supervised Learning
Zitai Xu, Yisi Luo, Bangyu Wu +1
Seismic data often undergoes severe noise due to environmental factors, which seriously affects subsequent applications. Traditional hand-crafted denoisers such as filters and regu…
Horizontal Layer Constrained Attention Neural Network for Semblance Velocity Picking
Chenyu Qiu, Bangyu Wu, Meng Li +2
Semblance velocity analysis is a crucial step in seismic data processing. To avoid the huge time-cost when performed manually, some deep learning methods are proposed for automatic…
An adaptive augmented regularization method and its applications
Junxiong Jia, Qihang Sun, Bangyu Wu +1
Regularization method and Bayesian inverse method are two dominating ways for solving inverse problems generated from various fields, e.g., seismic exploration and medical imaging.…
Recursive linearization method for inverse medium scattering problems with complex mixture Gaussian error learning
Junxiong Jia, Bangyu Wu, Jigen Peng +1
This paper is concerned with the modeling errors appeared in the numerical methods of inverse medium scattering problems (IMSP). Optimization based iterative methods are wildly emp…