Automatic picking of multi|mode dispersion curves using CNN ...

Automatic picking of multi-mode dispersion curves using CNN ...

We present a convolutional neural network (CNN) based machine learning (ML) approach to automatically pick the curves for the fundamental and ...

Automated dispersion curve picking using multi-attribute ...

To make these approaches more efficient and practical, it is important to automate the picking process. We propose a convolutional neural ...

Automatic picking of multi-mode dispersion curves using CNN ...

(2020) developed a deep learning model, which can rapidly pick dispersion curves by treating dispersion curves extraction as an instance segmentation task. Ren ...

Ren_Automatic picking of multi-mode dispersion curves using CNN ...

Reliable, automatic picking would make these methods more efficient and practicable. We present a convolutional neural network. (CNN) based machine learning (ML) ...

Automated dispersion curve picking using multi-attribute ...

We propose a convolutional neural network (CNN) based ML method to automatically pick multimode surface wave dispersion curves.

Automatic picking of multi-mode surface-wave dispersion curves ...

The application of machine learning algorithms in the picking of dispersion curves could be divided into two categories: supervised and unsupervised learning ...

Automated dispersion curve picking using multi-attribute ...

We propose a convolutional neural network (CNN) based ML method to automatically pick multimode surface wave dispersion curves. We modify the typical U-net ...

Automatic picking of multi-mode dispersion curves using CNN ...

Automatic picking of multi-mode dispersion curves using CNN-based machine learning ... Authors: Li Ren; Fuchun Gao; Yulang Wu; Paul Williamson; Wenlong Wang ...

Automatic Extraction of Surface Wave Dispersion Curves Using ...

In unsupervised learning, density-based clustering algorithms are applied to dispersion spectra of surface waves for picking the fundamental- ...

On application issues of automatic dispersion curves picking by ...

Multi-mode dispersion curve picking is required by many approaches for shallow-subsurface characterization using surface waves, but is typically ...

Automatic Extraction of Surface Wave Dispersion Curves Using ...

Key Points · An automatic scheme is developed to pick surface wave dispersion curves, and training data sets are not needed · High resolution ...

Automated dispersion curve picking using multi-attribute ... - OUCI

To make these approaches more efficient and practical, it is important to automate the picking process. We propose a convolutional neural network (CNN) based ML ...

On application issues of automatic dispersion curves picking by ...

Multi-mode dispersion curve picking is required by many approaches for shallow-subsurface characterization using surface waves, but is typically a ...

Extracting Surface Wave Dispersion Curves with Deep Learning

fully convolutional architecture with residual units to pick multi-mode dispersion curves through pixel- wise binary segmentation from ...

Near-surface velocity estimation using shear-waves and deep ...

Our deep learning method alleviates the need for estimating the dispersion curves, through learning a proxy for it in a data-driven manner. The proposed ...

Extracting Dispersion Curves From Ambient Noise Correlations ...

A machine learning approach to classify the phases of surface wave dispersion curves using a convolutional neural network architecture with a supervised ...

Prediction of S‐wave velocity models from surface waves using ...

... Automated dispersion curve picking using multi‐attribute convolutional‐neural‐network based machine learning. Geophysical Journal ...

DisperNet: An Effective Method of Extracting and Classifying the ...

Therefore, surface‐wave dispersion curve inversion is extensively applied in imaging subsurface shear‐wave velocity structures. The frequency– ...

Extracting dispersion curves from ambient noise correlations using ...

The developed technique will facilitate the automated processing of large dispersion curve datasets. Index Terms—Dispersion curves, surface waves, deep learning ...

Automatically Extracting Surface-Wave Group and Phase Velocity ...

In this study, we propose a novel method named DisperPicker to automatically extract fundamental mode group and phase velocity dispersion curves using a ...