The problem of the identification of Radio Frequency Interferences (RFI) that corrupt Synthetic Aperture Radar (SAR) data is addressed in this work. In particular, we propose a new approach based on the minimization of the Bayesian Information Criterion (BIC) able to detect, on a pixel-by-pixel basis, the RFI signals within the considered SAR data. The performance of the proposed approach is assessed by means of both simulated and real-world airborne L-band SAR data corrupted by RFI signals
A New Paradigm Based on the Bayesian Information Criterion for the Detection of Radio Frequency Interferences in SAR Data
A. Di Vincenzo;A. Natale;P. Berardino;C. Esposito;R. Lanari;S. Perna;
2024
Abstract
The problem of the identification of Radio Frequency Interferences (RFI) that corrupt Synthetic Aperture Radar (SAR) data is addressed in this work. In particular, we propose a new approach based on the minimization of the Bayesian Information Criterion (BIC) able to detect, on a pixel-by-pixel basis, the RFI signals within the considered SAR data. The performance of the proposed approach is assessed by means of both simulated and real-world airborne L-band SAR data corrupted by RFI signalsFile in questo prodotto:
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