Lightweight deep neural network for radio frequency interference detection and segmentation in synth...
Lightweight deep neural network for radio frequency interference detection and segmentation in synthetic aperture radar
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Publisher
London: Nature Publishing Group UK
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Language
English
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London: Nature Publishing Group UK
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Radio frequency interference (RFI) poses challenges in the analysis of synthetic aperture radar (SAR) images. Existing RFI suppression systems rely on prior knowledge of the presence of RFI. This paper proposes a lightweight neural network-based algorithm for detecting and segmenting RFI (LDNet) in the time-frequency domain. The network accurately...
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Full title
Lightweight deep neural network for radio frequency interference detection and segmentation in synthetic aperture radar
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TN_cdi_doaj_primary_oai_doaj_org_article_aed1e55fbcd0408e832d6b8e35e7b166
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_aed1e55fbcd0408e832d6b8e35e7b166
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-024-71775-8
