HPII-NET: A High-Precision Interference Identification Network for Spaceborne SAR Images

Spaceborne Synthetic Aperture Radar(SAR) can be mounted on space vehicles to collect information on the entire planet with all-day and all-weather imaging capacity. However, the spaceborne SAR sensor may suffer from severe interferences resulting in image degradation, which puts forward an urgent need for interference identification and mitigation. This paper proposes a high-precision interference identification method for spaceborne SAR images, named HPII-NET. The network is trained with simulation and real measurement data, and the effectiveness of the proposed method is verified by both simulation and the Setinel-1 satellite SAR images. Compared with the traditional identification networks, experimental results show that the HPII-NET can achieve more than 97% interference identification accuracy and thus improve the interference identification performance.