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Implementation for CNN-RWI on TensorFlow and PySIT platforms

License: Apache License 2.0

Shell 6.97% Python 51.35% MATLAB 41.69%

cnn-rwi's Introduction

CNN-RWI

Implementation for CNN-RWI on TensorFlow 1.0 and PySIT platforms

Prerequisites

  1. MATLAB (https://www.mathworks.com/products/matlab.html) for prior model parcellation to create training models
  2. PySIT (https://github.com/pysit/pysit) for reverse-time migration
  3. TensorFlow r1.15 (https://www.tensorflow.org/) for CNN training and prediction

User guide

  1. Modify the parameters in the all_in.sh (shell script)
  2. Modify the parameters in the RTM.py (provided under pysit1.0/)
  3. Modify the parameters in the ML7_parse_vp.py (provided under CNN_approximation1.0/)
  4. Run the shell script (all_in.sh)
  5. Run the MATLAB script (plot_itermediate_velocity.m) (provided under matlab1.0/Marmousi/) to plot inverted models

cnn-rwi's People

Contributors

yulangwu avatar

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