Deep Learning for Seismic Imaging and Interpretation
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Updated
Sep 18, 2020 - Python
Deep Learning for Seismic Imaging and Interpretation
Matlab research tools to read, write and process seismic data
🔭 Read, parse seismic data from AnyShake Explorer, stream via SeedLink, WebSocket, TCP and archive to database, miniSEED.
🌏 Detecting seismic wave using 3 geophones or accelerometer, pack & send data to AnyShake Observer by RS232 / RS485 serial.
Seismic inversion
The Seismo-Performer: A Novel Machine Learning Approach for General and Efficient Seismic Phase Recognition from Local Earthquakes in Real Time
python tools for seismic ground-roll (surface wave) simulation
Retrieve azimuthal anisotropy of surface waves from inter-station measurements, following Schippkus et al. 2020
Single-header SAC (Seismic Analaysis Code) I/O library written in C++20.
Fast estimation of CRS parameters using structure tensors
Reproducible material for Meta-Processing: A robust framework for multi-tasks seismic processing
For Southeast Tibet
A simple Golang module that deals with miniSEED files.
Reproducible material for A self-supervised learning framework for seismic low-frequency extrapolation
Slope estimation and interpolation of multi-channel seismic data
📈 Get real-time seismic waveform and spectrogram on desktop from AnyShake Observer APIs, based on Obspy and Matplotlib.
SeedLink server protocol basic implementation in pure Go.
The importance of transfer learning in seismic modeling and imaging by Siahkoohi, A., Louboutin, M., and Herrmann, F. J.
A collection of seismic data processing tools - mostly a learn by doing project
Desenvolvimento de um pacote de processamento sísmico para o Seismic Unix (SU) com fluxo de processamento em shell script
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