Finding Ground-based Radars in SAR images: Localizing Radio Frequency Interference using Unsupervised Deep Learning

Synthetic Aperture Radar (SAR) satellite images are used increasingly more for Earth observation. While SAR images are useable in most conditions, they occasionally experience image degradation due to interfering signals from external radars, called Radio Frequency Interference (RFI). RFI affected i...

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Veröffentlicht in:	IEEE transactions on geoscience and remote sensing Jg. 61; S. 1
Hauptverfasser:	Sorensen, Kristian Aa, Kusk, Anders, Heiselberg, Peder, Heiselberg, Henning
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.01.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Anomalies anomaly classification and localization Classification convolutional autoencoder Deep learning Image degradation Image reconstruction Radar Radar imaging Radio Radio frequency Radio frequency interference radio frequency interference (RFI) SAR (radar) Satellite imagery Ships Synthetic aperture radar synthetic aperture radar (SAR)
ISSN:	0196-2892, 1558-0644
Online-Zugang:	Volltext
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