1. Introduction
Synthetic Aperture Radar (SAR) has been increasingly af-fected by Radio Frequency Interference (RFI) over the past decade and this trend is expected to worsen further over time [1], [2]. A robust RFI mitigation scheme is therefore critical for future missions in order to avoid data loss and un-detected biases in scientific end products. A variety of techniques have been proposed to reduce the impact of RFI [2]–[7]. However, all conventional RFI mitigation methods suffer sig-nificant drawbacks, such as remaining data loss or resolution loss, or depend on parameters that vary strongly from case to case.