Results 21 to 30 of about 382,825 (168)

Research on Noise Suppression Technology of Marine Optical Fiber Towed Streamer Seismic Data Based on ResUNet

open access: yesEnergies, 2022
Optical fiber seismic exploration technology has been widely used in marine oil and gas hydrate exploration due to its wide frequency band and high sensitivity. However, there are more types of noise in the collected data by optical fiber hydrophone than
Hongfei Qian   +3 more
doaj   +1 more source

Denoising of SAR images [PDF]

open access: yes, 2011
Matter of discussion in this Ph. D. thesis is SAR (Synthetic Aperture Radar) image denoising. Main elements of innovation are the introduction of SAR-BM3D, a denoising algorithm optimized for SAR data, and the introduction of a benchmark which enables ...
Poderico, Mariana
core   +1 more source

An EEMD-Based Denoising Method for Seismic Signal of High Arch Dam Combining Wavelet with Singular Spectrum Analysis

open access: yesShock and Vibration, 2019
Due to complicated noise interference, seismic signals of high arch dam are of nonstationarity and a low signal-to-noise ratio (SNR) during acquisition process.
Bo Li   +3 more
doaj   +1 more source

A Natural Images Pre-Trained Deep Learning Method for Seismic Random Noise Attenuation

open access: yesRemote Sensing, 2022
Seismic field data are usually contaminated by random or complex noise, which seriously affect the quality of seismic data contaminating seismic imaging and seismic interpretation. Improving the signal-to-noise ratio (SNR) of seismic data has always been
Haixia Zhao, Tingting Bai, Zhiqiang Wang
doaj   +1 more source

A multiresolution framework for local similarity based image denoising [PDF]

open access: yes, 2012
In this paper, we present a generic framework for denoising of images corrupted with additive white Gaussian noise based on the idea of regional similarity.
Rajpoot, Nasir M. (Nasir Mahmood)   +1 more
core   +1 more source

Multi-scale interactive network in the application of DAS seismic data processing

open access: yesFrontiers in Earth Science, 2023
Distributed acoustic sensing (DAS) is regarded as a novel acquisition technology for seismic data. Compared with conventional electrical geophones, DAS has a series of obvious advantages including low-cost, high spatial resolution, good coverage, and ...
Hongzhou Wang   +5 more
doaj   +1 more source

Denoising of Seismic Data Based on Block Dictionary Learning Theory

open access: yesCT Lilun yu yingyong yanjiu, 2022
With the increasingly complex observation environment of oil and gas exploration, the seismic data collected are often mixed with various noise signals, resulting in the effective weak signal caused by the exploration target is covered, which seriously ...
Junjie ZHOU   +3 more
doaj   +1 more source

A Joint Framework for Seismic Signal Denoising Using Total Generalized Variation and Shearlet Transform

open access: yesIEEE Access, 2021
Seismic exploration is a remote-sensing tool applied in a great many projects for engineering and resource-exploration purposes. Random noise suppression is one of the key steps in seismic-signal processing, especially those with important details and ...
Xiannan Wang, Jian Zhang, Hao Cheng
doaj   +1 more source

Ground-Truth-Free 3D Seismic Denoising Based on Diffusion Models: Achieving Effective Constraints Through Embedded Self-Supervised Noise Modeling

open access: yesRemote Sensing
Three-dimensional (3D) seismic data, essential for revealing subsurface structures and exploring oil and gas resources, are often contaminated by noise with an unknown prior distribution.
Zhonghan Zhang   +5 more
doaj   +1 more source

DFRSeisNet: Fluctuation-Prior-Regularized Background Noise Attenuation for Seismic Signal Denoising

open access: yesSensors
Seismic exploration has progressively expanded into urban fringe regions and areas with intensive human activities, where anthropogenic interference has increased markedly, aggravating the background noise problem and substantially affecting the accuracy
Fei Deng   +3 more
doaj   +1 more source

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