Reflection Seismic Interferometry via Higher-Order Cumulants to Solve Normal Moveout Stretch

Shi, Liang; Hu, Tianyue; Qiao, Baoping; Cui, Dong

doi:10.1109/lgrs.2021.3131208

Cited by 3 publications

(1 citation statement)

References 21 publications

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“…Recently, Qiao et al (2021) and Liang et al (2022), proposed an approach for NMO corrections based on cross-correlation. We extend this approach to remove the NMO effect and via k-means clustering, we obtain an average velocity model.…”

Section: Introductionmentioning

confidence: 99%

Field Stack in Minutes: No Velocity Picking, No Nmo Stretch

Brodic

Papadopoulou

Draganov

et al. 2022

NSG2022 28th European Meeting of Environmental and Engineering Geophysics

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Motivated by the ideas of automatic common-midpoint (CMP) stacking without normal-moveout (NMO) correction, hence NMO stretch, and automatizing the velocity model building, we propose a cross-correlation/cross-coherence-based approach. It is a two-step method where the first step is crosscorrelation/cross-coherence of zero-offset traces with all other traces in corresponding CMP gathers. This step removes the NMO effect of different hyperbolic events, resulting in CMP gathers with flat events without any stretching effect. Following this, horizontal summation across different CMP gathers is done, resulting in a velocity-free data-driven production of time-domain stacked seismic section. The second step takes advantage of the cross-correlation lags via data-driven k-means cluster analysis to separate lags corresponding to individual hyperbolic events in the CMP gather into distinct clusters. Different norm fittings to lags within individual clusters are evaluated and the lowest residual one automatically selected, resulting in a velocity and zero-offset two-way traveltime time per cluster. These form a base to build an average velocity model for migration and time-to-depth conversion. We demonstrate the efficiency of the proposed method using synthetic and field shear-wave data acquired in southwestern Sweden.

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Section: Introductionmentioning

confidence: 99%

Field Stack in Minutes: No Velocity Picking, No Nmo Stretch

Brodic

Papadopoulou

Draganov

et al. 2022

NSG2022 28th European Meeting of Environmental and Engineering Geophysics

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Colour balance and contrast stretching for sand‐dust image enhancement

Hua

Min

et al. 2022

IET Image Processing

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The increasingly frequent sand-dust weather in the inland areas seriously affects outdoor vision applications, especially autonomous vehicles and security monitoring. To moderate the image's colour cast and poor contrast caused by sand-dust weather, an effective approach is proposed in this study to enhance the sand-dust images. First, the original degraded image's colour cast is corrected by a new colour balance and compensation formula, which compensates the blue and green channel information through numerous yellow channel information caused by sand-dust scattering before white balance. Next, in order to avoid the new colour deviation, the corrected image is converted from the RGB colour space to the HSV colour space and use the CLAHE to enhance the V component to improve the contrast. Then, a nonlinear gain function is defined to further adaptively sharpen the V component to enhance image details. Finally, the S component is stretched to improve image saturation. The extensive qualitative and quantitative evaluation shows that this method can improve the image edge clarity and contrast, restore good colour fidelity for all sand-dust images tested. The verification also proves that this method is of much significance in improving the feature point extraction and the target detection results in the sand-dust weather.

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Polarity-Constrained Dual-Cycle Generative Adversarial Networks for Irregularly Sampled Seismic Data Reconstruction

Liu,

et al. 2024

IEEE Trans. Geosci. Remote Sensing

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Reflection Seismic Interferometry via Higher-Order Cumulants to Solve Normal Moveout Stretch

Cited by 3 publications

References 21 publications

Field Stack in Minutes: No Velocity Picking, No Nmo Stretch

Field Stack in Minutes: No Velocity Picking, No Nmo Stretch

Colour balance and contrast stretching for sand‐dust image enhancement

Polarity-Constrained Dual-Cycle Generative Adversarial Networks for Irregularly Sampled Seismic Data Reconstruction

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