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.

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

A Natale
;
A Di Vincenzo;P Berardino;C Esposito;A Fusco;R Lanari;S Perna
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.
2023
Istituto per il Rilevamento Elettromagnetico dell'Ambiente - IREA
Inglese
IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium
IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium
9798350331745
Sì, ma tipo non specificato
16/07/2023-21/07/2023
Pasadena
Synthetic Aperture Radar (SAR)
airborne SAR
Frequency Modulated Continuous Wave (FMCW) SAR
Radio Frequency Interferences (RFI)
RFI detection
8
none
Natale, A; DI VINCENZO, Alessandro; De Maio, A; Berardino, P; Esposito, C; Fusco, A; Lanari, R; Perna, S
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/437946
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