Results 91 to 100 of about 382,825 (168)
Image volume denoising using a Fourier-wavelet basis [PDF]
, 2003 A novel approach to the removal of noise from threedimensional image data is described. The image sequence is represented using a non-adaptive wavelet basis, carefully chosen for its ability to compactly represent locally planar surfaces.
Wilson, Roland +3 more
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Photonic SensorsA distributed acoustic sensing (DAS) technology, extensively utilized in the seabed geological exploration, ocean current analysis, and marine seismic monitoring, faces challenges due to the presence of various noise types in sensing signals, which ...
Tianrui LI +6 more
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Enhancing seismic image resolution using Brownian diffusion bridge model
Seismic images often lack the high resolution needed for proper identification of subsurface structures and potential hydrocarbon reservoirs, and that is due to factors such as limited data acquisition and the attenuation of seismic waves as they travel ...
Sun, Bingbing +2 more
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, 2007 A new threshold rule for the estimation of a deterministic image immersed in noise is proposed. The full estimation procedure is based on a separable wavelet decomposition of the observed image, and the estimation is improved by introducing the new ...
Olhede, SC
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Seismic Signal Denoising Based on Surelet Transform for Energy Exploration [PDF]
Seismic signals are critical for subsurface energy exploration like oil, coal, and natural gas. Processing these signals while minimizing environmental impacts is crucial but lacking in several appropriate multi-scale geometric analysis (MGA) techniques.
Ding, Mu
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, 2006 We consider the problem of denoising a noisily sampled submanifold M in R d, where the submanifold M is a priori unknown and we are only given a noisy point sample.
Hein, Matthias +3 more
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Hybrid seismic denoising using higher-order statistics and improved wavelet block thresholding
, 2016 We introduce a nondiagonal seismic denoising method based on the continuous wavelet transform with hybrid block thresholding (BT). Parameters for the BT step are adaptively adjusted to the inferred signal property by minimizing the unbiased risk estimate
Langston, Charles A. +1 more
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IEEE AccessSuppressing random noise and improving the signal-to-noise ratio of seismic data holds immense significance for subsequent high-precision processing. As one of the most widely used denoising methods, self-learning-based algorithms typically partition the
Jian Gao +4 more
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A novel wavelet seismic denoising method using type II fuzzy
, 2016 DOI: 10.1016/j.asoc.2016.06.024 Link: http://www.sciencedirect.com/science/article/pii/S1568494616303040 Filiació URV: SIWavelet based denoising of the observed non stationary time series earthquake loading has become an important process in seismic ...
PUIG VALLS, DOMÈNEC SAVI; M. Beena mol; J. Mohanalin; S. Prabavathy; Jordina Torrents-Barrena
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GeosciencesWith the increasing demand for precision in seismic exploration, high-resolution surveys and shallow-layer identification have become essential. This requires higher sampling frequencies during seismic data acquisition, which shortens seismic wavelengths
Xiaoji Wang +4 more
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