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
Fast estimation of CRS parameters using structure tensors
Seismic inversion
🔭 Read, parse seismic data from AnyShake Explorer, stream or archive to database
The Seismo-Performer: A Novel Machine Learning Approach for General and Efficient Seismic Phase Recognition from Local Earthquakes in Real Time
Slope estimation and interpolation of multi-channel seismic data
Retrieve azimuthal anisotropy of surface waves from inter-station measurements, following Schippkus et al. 2020
🌏 Read voltage counts from three geophones, pack & send data to AnyShake Observer
A collection of seismic data processing tools - mostly a learn by doing project
Single-header SAC (Seismic Analaysis Code) I/O library written in C++20.
For Southeast Tibet
Toolbox for processing data from SmartSolo geophones and proceed H/V interpolation.
Dockerfiles to automatically create Docker images on Docherhub for Seismic Processing suites
Javascript reader of SEG 2 data
Desenvolvimento de um pacote de processamento sísmico para o Seismic Unix (SU) com fluxo de processamento em shell script
A Docker tool for learning, testing, running and developing Earthworm within enclosed environments.
The Personal website of Jack (Xun) Li
A simple Golang module that deals with MiniSEED files
The importance of transfer learning in seismic modeling and imaging by Siahkoohi, A., Louboutin, M., and Herrmann, F. J.
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