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Detection Strategies for Radio Frequency Interferences Corrupting FMCW L-Band SAR Data

Contributo in Atti di convegno
Data di Pubblicazione:
2023
Abstract:
It is widely recognized that SAR images can suffer from the presence of RFI, especially at the low frequencies of the microwave spectrum. Such nuisance signals can significantly impair the quality of the SAR data with unwanted effects on the final products. This paper describes a processing strategy for the detection and cancellation of RFI signals corrupting airborne SAR raw-data. In addition, the performance of the proposed strategy is assessed by exploiting airborne L-band FMCW-SAR data.
Tipologia CRIS:
04.01 Contributo in Atti di convegno
Keywords:
Synthetic Aperture Radar (SAR); airborne SAR; Frequency Modulated Continuous Wave (FMCW) SAR; Radio Frequency Interferences (RFI); RFI detection
Elenco autori:
Natale, Antonio; Fusco, Adele; Perna, Stefano; DI VINCENZO, Alessandro; Esposito, Carmen; Lanari, Riccardo; Berardino, Paolo
Autori di Ateneo:
BERARDINO PAOLO
ESPOSITO CARMEN
FUSCO ADELE
LANARI RICCARDO
NATALE ANTONIO
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/437946
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