This repositories is for the Radio frequency interference (RFI) detection
In the folder data-set, the file data_preprocessing.py is to packed the data into tfrecord for train and validation. The test data is packed as hdf5 file.
In the folder RFI-Net, the rfi-net.py is where the model is constructed and train, validate and test.
The detection result is show as below:
The paper of RFI-Net has been published in Monthly Notices of the Royal Astronomical Society (please see Deep residual detection of radio frequency interference for FAST)