Interference Suppression For Sar Image Based On Joint Supervision En-Decoder Network

SAR is usually subject to strong electromagnetic interference (EMI) during electronic reconnaissance missions, which will seriously weaken its ability of surveying and mapping. This paper presents a novel method for SAR image interference suppression based on the encoder-decoder network (named as IS...

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Veröffentlicht in:IEEE International Geoscience and Remote Sensing Symposium proceedings S. 3416 - 3419
Hauptverfasser: Zhang, Hao, Wei, Shunjun, Zhou, Zichen, Shi, Jun, Zhang, Xiaoling
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 17.07.2022
Schlagworte:
Electromagnetic interference
Encoder-Decoder network
Feature extraction
Filtering
Geoscience and remote sensing
Interference suppression
Reconnaissance
Satellites
Sentinel-1 satellite
Synthetic aperture radar
ISSN:2153-7003
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Zusammenfassung:SAR is usually subject to strong electromagnetic interference (EMI) during electronic reconnaissance missions, which will seriously weaken its ability of surveying and mapping. This paper presents a novel method for SAR image interference suppression based on the encoder-decoder network (named as ISEDnet). ISEDnet mainly consists of consecutive feature extraction net (FEN), the additional encoder-decoder network, and the image supervision mechanism. FEN is used to extract the features of interfered SAR images, and the Encoder-Decoder network (EDN) is used to suppress interference of SAR images. The image supervision mechanism is proposed to recover the target features. The network trained with simulation and real measurement data, the effectiveness of ISED-net are verified by both simulation and the Sentinel-1 satellite SAR images. Compared to the traditional notch filtering method, ISEDnet can successfully suppress different types of SAR interference and improve interference suppression performance.
ISSN:2153-7003
DOI:10.1109/IGARSS46834.2022.9884685