Skip to content

javashs/SCRN

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

66 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

SCRN

Swin Transformer for simultaneous denoising and interpolation of seismic data

Step 1: Download the dataset. Run the download_data.py file under the util file. If the download speed is slow, please go to this URL (https://wiki.seg.org/wiki) to download.

Step 2: Split the dataset. Run the get_patch.py file under the util file. Split segy files into patches and save them in npy data format.

Step 3: Training patches dataset. Please run the train.py file directly.

Step 4: Test the model. Choose an optimal model to use on the test data. Please run the test.py file directly.

model: models of network design.

test_data: synthetic data for the test.

train_data: synthetic data for training is obtained from https://wiki.seg.org/wiki/Open_data.

trained_model: trained model.

util: tools for training and testing.

test.py: test code.

train.py: training code.

Due to the sensitive nature of the commercial datasets, the raw data would remain confidential and would not be shared.

About

Swin transformer for simultaneous denoising and interpolation of seismic data

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages