• Segmentation of Polar Mesospheric Summer Echoes using Fully Convolutional Network 

      Domben, Erik Seip (Master thesis; Mastergradsoppgave, 2023-04-26)
      Polar Mesospheric Summer Echoes (PMSE) are strong coherent radar echoes that occur in the 80 to 90 km altitude range of the mesosphere during the Arctic summer months. These echoes are of significant interest to the space physics community as they provide insight into changes that occur in the atmosphere. To better understand these changes, large datasets of PMSE echoes need to be analysed. In ...
    • Using Deep Learning Methods for Segmenting Polar Mesospheric Summer Echoes 

      Domben, Erik Seip; Sharma, Puneet; Mann, Ingrid (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-08-31)
      Polar mesospheric summer echoes (PMSE) are radar echoes that are observed in the mesosphere during the arctic summer months in the polar regions. By studying PMSE, researchers can gain insights into physical and chemical processes that occur in the upper atmosphere—specifically, in the 80 to 90 km altitude range. In this paper, we employ fully convolutional networks such as UNET and UNET++ for ...