Results 81 to 90 of about 382,825 (168)

Denoising Techniques Based on the Multiresolution Representation [PDF]

So far, considerable research efforts have been invested in the are of using statistical methods for image processing purposes yielding to a significant amount of models that aim to improve as much as possible the still existing and currently used ...
Viorica STEFANESCU, Panayiotis VLAMOS, Catalina COCIANU, Luminita STATE   +3 more
core  

Cold Diffusion Model for Seismic Denoising [PDF]

Seismic waves contain information about the earthquake source, the geologic structure they traverse, and many forms of noise. Separating the noise from the earthquake is a difficult task because optimal parameters for filtering noise typically vary ...
Laurenti, Laura, Michelini, Alberto, Poggiali, Giulio, Galasso, Fabio, Trappolini, Daniele, Tinti, Elisa, Marone, Chris   +6 more
core   +1 more source

Self-supervised multi-stage deep learning network for seismic data denoising

Seismic data denoising is a critical process usually applied at various stages of the seismic processing workflow, as our ability to mitigate noise in seismic data affects the quality of our subsequent analyses.
Ravasi, Matteo, Alkhalifah, Tariq Ali, Saad, Omar M.   +2 more
core   +1 more source

Advances in crosshole seismic reflection processing [PDF]

, 1993
In recent years there have been significant advances in the acquisition and processing of crosshole seismic reflection data, and the method has been shown to be a high resolution imaging technique.
Rowbotham, Peter S
core  

Borehole seismic methods for opencast coal exploration [PDF]

, 1990
Surface seismic techniques lack the resolution to image the top 100m or so of the earth's surface necessary for opencast coal exploration. The work reported in this thesis is the development of borehole seismic methods making use of the closely spaced ...
Kragh, J. Edward
core  

Time–Frequency Domain Seismic Signal Denoising Based on Generative Adversarial Networks

Applied Sciences
Existing deep learning-based seismic signal denoising methods primarily operate in the time domain. Those methods are ineffective when noise overlaps with the seismic signal in the time domain.
Ming Wei, Xinlei Sun, Jianye Zong
doaj   +1 more source

Wavelet denoising and feature extraction of seismic signal for footstep detection

, 2007
Seismic sensors are widely used to detect moving target in ground sensor networks. Footstep detection is very important for security surveillance and other applications.
Liu, YL, Xing, HF, Xing, HF, Chinese Acad Sci, Inst Semicond, State Key Lab Integrated Optoelect, Beijing 100083, Peoples R China., Li, F   +3 more
core  

Performance-Based approach in seismic design of embedded retaining walls [PDF]

, 2008
The increasing use of the underground spaces and the last seismic events in the urban areas have driven many researchers of different countries to deepen the knowledge on the dynamic behaviour of the structure embedded in the subsoil.
Visone, Ciro
core   +1 more source

ePoster

European Journal of Neurology, Volume 33, Issue S1, June 2026.
wiley   +1 more source

Nonlinear Seismic Signal Denoising Using Template Matching with Time Difference Detection Method

Remote Sensing
As seismic exploration shifts towards areas with more complex surface and subsurface structures, the complexity of the geological conditions often results in seismic data with low signal-to-noise ratio. It is therefore essential to implement denoising in
Rongwei Xu, Bo Feng, Huazhong Wang, Chengliang Wu, Zhenbo Nie   +4 more
doaj   +1 more source