LOFAR RFI Detection (Low-Frequency Array (LOFAR) Radio Frequency Interference Detection)
Introduced by Mesarcik et al. in Learning to detect RFI in radio astronomy without seeing it
This dataset contains simulated and expert-labelled spectrograms from two radio telescopes: the Hydrogen Epoch of Reionization Array (HERA) in South Africa and the Low-Frequency Array (LOFAR) in the Netherlands. These datasets are intended to test radio-frequency interference (RFI) detection schemes. This entry pertains to the LOFAR dataset specifically.
The LOFAR dataset is comprised of: - 7609 Spectrograms and accompanying binary mask information.
This dataset has been preprocessed into 512 x 512 x 1 images. The low number of target pixels (RFI) proportional to the total data volume makes this dataset a useful test for RFI detection schemes in radio astronomy and, more generally, anomaly detection or semantic segmentation methods.
Benchmarks
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LOFAR RFI Detection
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Nearest Latent Neighbours
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Papers
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