Blar i forfatter Fakultet for ingeniørvitenskap og teknologi "Mann, Ingrid"

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    • Comparison of Deep Learning Models for the Classification of Noctilucent Cloud Images 

      Sapkota, Rajendra; Sharma, Puneet; Mann, Ingrid (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-05-10)
      Optically thin layers of tiny ice particles near the summer mesopause, known as noctilucent clouds, are of significant interest within the aeronomy and climate science communities. Groundbased optical cameras mounted at various locations in the arctic regions collect the dataset during favorable summer times. In this paper, first, we compare the performances of various deep learningbased image ...

    • Towards a Framework for Noctilucent Cloud Analysis 

      Sharma, Puneet; Dalin, Peter; Mann, Ingrid (Journal article; Tidsskriftartikkel; Peer reviewed, 2019)
      In this paper, we present a framework to study the spatial structure of noctilucent clouds formed by ice particles in the upper atmosphere at mid and high latitudes during summer. We studied noctilucent cloud activity in optical images taken from three different locations and under different atmospheric conditions. In order to identify and distinguish noctilucent cloud activity from other objects ...

    • 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 ...