Skip to content

songc0a/Weighted-envelope-correlation-based-waveform-inversion

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

7 Commits
 
 
 
 
 
 
 
 

Repository files navigation

Weighted-envelope-correlation-based-waveform-inversion

**This repository reproduces the results of the accepted paper "Weighted Envelope Correlation-based Waveform Inversion Using Automatic Differentiation" by IEEE TGRS.

Overview

We applied automatic differentiation under the framework of deepwave to complete FWI using different forms of objective functions.

Installation of deepwave

pip install deepwave==0.0.9

Citation information

If you find our codes and publications helpful, please kindly cite the following publication.

@article{song2023weighted, title={Weighted Envelope Correlation-based Waveform Inversion Using Automatic Differentiation}, author={Song, Chao and Wang, Yanghua and Richardson, Alan and Liu, Cai}, journal={IEEE Transactions on Geoscience and Remote Sensing}, year={2023}, volume={61} publisher={IEEE} }

contact information

If there are any problems, please contact me through my emails: [email protected];[email protected]

About

We develop a weighted envelope-correlation-based waveform inversion using automatic differentiation.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published