Dataset for Recognition and Detection Based on Solar Radio Spectrogram Data by Yan et al
Solar radio bursts and their fine spectral structures contain key physical information related to plasma instabilities, high-energy particle acceleration, and other important processes. They therefore serve as an important observational means for studying solar activity and space weather. With the increasing volume of solar radio spectrogram observation data, deep learning-based recognition and detection of solar radio bursts have become a key research direction. However, most studies on meter-wave solar radio […]