• Auroral Image Processing Techniques - Machine Learning Classification and Multi-Viewpoint Analysis 

      Kvammen, Andreas (Doctoral thesis; Doktorgradsavhandling, 2021-09-30)
      Every year, millions of scientific images are acquired in order to study the auroral phenomena. The accumulated data contain a vast amount of untapped information that can be used in auroral science. Yet, auroral research has traditionally been focused on case studies, where one or a few auroral events have been investigated and explained in detail. Consequently, theories have often been developed ...