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Deep learning for extracting dispersion curves
High-frequency surface-wave methods have been widely used for surveying near-surface
shear-wave velocities. A key step in high-frequency surface-wave methods is to acquire …
shear-wave velocities. A key step in high-frequency surface-wave methods is to acquire …
Estimating near-surface shear-wave-velocity structures via multichannel analysis of Rayleigh and love waves: An experiment at the Boise hydrogeophysical research …
Surface-wave analysis has been widely used for near-surface geophysical and geotechnical
studies by using the dispersive characteristic of surface waves (Rayleigh or Love waves) to …
studies by using the dispersive characteristic of surface waves (Rayleigh or Love waves) to …
In vivo stiffness measurement of epidermis, dermis, and hypodermis using broadband Rayleigh-wave optical coherence elastography
Traveling-wave optical coherence elastography (OCE) is a promising technique to measure
the stiffness of biological tissues. While OCE has been applied to relatively homogeneous …
the stiffness of biological tissues. While OCE has been applied to relatively homogeneous …
Indirect joint petrophysical inversion of shallow-seismic and multi-offset ground-penetrating radar field data
In near-surface surveys, shallow-seismic and ground-penetrating radar (GPR) full-waveform
inversions (FWIs) have received increasing attention because of their ability to reconstruct …
inversions (FWIs) have received increasing attention because of their ability to reconstruct …
Underwater acoustic target recognition method based on WA-DS decision fusion
H Feng, X Chen, R Wang, H Wang, H Yao, F Wu - Applied acoustics, 2024 - Elsevier
Deep learning methods can recognize the various underwater acoustic targets in complex
marine environments. In this study, we apply deep learning methods in decision recognition …
marine environments. In this study, we apply deep learning methods in decision recognition …
Near-surface 2D imaging via FWI of DAS data: An examination on the impacts of FWI starting model
Full waveform inversion (FWI) and distributed acoustic sensing (DAS) are powerful tools with
potential to improve how seismic site characterization is performed. FWI is able to provide …
potential to improve how seismic site characterization is performed. FWI is able to provide …
Near-surface geothermal reservoir imaging based on the customized dense seismic network
C Zhou, J **a, J Pang, F Cheng, X Chen, C **… - Surveys in …, 2021 - Springer
Exploration of geothermal resources has become one of the major drivers for urbanization
and economic transformation in southeast China, and it calls for temporal and spatial …
and economic transformation in southeast China, and it calls for temporal and spatial …
Near-surface site characterization based on joint iterative analysis of first-arrival and surface-wave data
Z Wang, C Sun, D Wu - Surveys in Geophysics, 2023 - Springer
Near-surface site characterization is of great significance in the fields of geotechnical
engineering and resource exploration. In this paper, we propose a near-surface site …
engineering and resource exploration. In this paper, we propose a near-surface site …
Vibration isolation effects of barriers filled with ceramsite and sand: Full-scale model test and numerical investigation
Z **, L Weili, L Benhai, Q Jiaofen, L Cheng - Construction and Building …, 2022 - Elsevier
Barrier is an effective vibration isolation measure to reduce railway-induced vibrations.
However, the full-scale model test is seldom conducted. In this paper, the ceramsite or the …
However, the full-scale model test is seldom conducted. In this paper, the ceramsite or the …
Full dispersion‐spectrum inversion of surface waves
Nowadays, the most successful applications of full‐waveform inversion (FWI) involve marine
seismic data under acoustic approximations. Elastic FWI of land seismic data is still …
seismic data under acoustic approximations. Elastic FWI of land seismic data is still …