Image denoising is a prerequisite for downstream tasks in many fields. Low-dose and
photon-counting computed tomography (CT) denoising can optimize diagnostic …

Geological hazard is an adverse geological condition that can cause loss of life and
property. Accurate prediction and analysis of geological hazards is an important and …

Existing deep learning-based seismic data denoising methods mainly involve supervised
learning, in which a denoising network is trained using a large amount of noisy input/clean …

Surface-related multiples are generally removed as noise. To suppress surface-related
multiples, we propose an unsupervised deep neural network approach based on ensemble …

Random noise suppression can greatly improve the signal-to-noise ratio (SNR) of seismic
signals. To suppress random seismic noise, we propose an unsupervised deep neural …

Seismic interpretation is a fundamental approach for obtaining static and dynamic
information about subsurface reservoirs, such as geological faults/salt bodies and …

Improving the signal-to-noise ratio and suppressing random noise in seismic data is critical
for high-precision processing. Although deep learning-based algorithms have gained …

The simultaneous source data obtained by simultaneous source acquisition contain
crosstalk noise and cannot be directly used in conventional data processing procedures …

Deep-learning methods have gained widespread popularity for effectively suppressing
random noise in seismic data. The recent progress in techniques based on supervised …

Simultaneous source acquisition technology can greatly improve seismic acquisition
efficiency. However, due to continuous shooting and serious crosstalk noise of the adjacent …