Abstract: Radar-based micro-Doppler spectrograms offer a robust representation for classifying aerial objects, particularly small Uncrewed Aerial Vehicles (UAVs), in scenarios where optical sensing is ...

Abstract: Signal analysis and classification is fraught with high levels of noise and perturbation. Computer-vision-based deep learning models applied to spectrograms have proven useful in the field ...