A frequency-velocity CNN for developing near-surface 2D vs images from linear-array, active-source wavefield measurements

Author:

Abbas Aser,Vantassel Joseph P.,Cox Brady R.,Kumar Krishna,Crocker Jodie

Publisher

Elsevier BV

Subject

Computer Science Applications,Geotechnical Engineering and Engineering Geology

Reference68 articles.

1. Deep Learning for Seismic Inverse Problems;Adler;IEEE signal processing magazine,2021

2. Andrus, R. D. et al., 2007. Predicting shear-wave velocity from cone penetration resistance. s.l., s.n.

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4. Theory of Propagation of Elastic Waves in a Fluid-Saturated Porous Solid. I. Low-Frequency Range;Biot;The Journal of the Acoustical Society of America,1956

5. Theory of Propagation of Elastic Waves in a Fluid-Saturated Porous Solid. II. Higher Frequency Range;Biot;The Journal of the Acoustical Society of America,1956

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