U‐Net Based Machine Learning for Identification of Auroras in Space‐Based Images
We use a Semantic Segmentation based U‐Net model to predict the appearance of various classifications of aurora present in near‐infrared images from the Fast Auroral Imager (FAI) onboard the CASSIOPE satellite. We manually labeled pixels from a set of 4091 FAI near‐infrared images into 7 different classes: no aurora,...