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ASCL Code Record

[ascl:1611.002] tf_unet: Generic convolutional neural network U-Net implementation in Tensorflow

tf_unet mitigates radio frequency interference (RFI) signals in radio data using a special type of Convolutional Neural Network, the U-Net, that enables the classification of clean signal and RFI signatures in 2D time-ordered data acquired from a radio telescope. The code is not tied to a specific segmentation and can be used, for example, to detect radio frequency interference (RFI) in radio astronomy or galaxies and stars in widefield imaging data. This U-Net implementation can outperform classical RFI mitigation algorithms.

Code site:
https://github.com/jakeret/tf_unet
Appears in:
http://adsabs.harvard.edu/abs/2016arXiv160909077A
Bibcode:
2016ascl.soft11002A

ascl:1611.002
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