Now showing items 1-4 of 4

    • Detection metrics and ship [D]RI 

      Van Rheenen, Arthur D.; Heen, Lars Trygve; Madsen, Eirik Blix; Brendhagen, Erik; Løkken, Kristin Hammarstrøm; Almklov, Bernt; Glimsdal, Eirik (2018)
      Well-known detection metrics based on Johnson criteria or Target Task Performance (TTP) models were developed for land-based targets [1,2]. In this paper we investigate how (whether) we can apply these metrics to especially ...
    • How to assess good candidate molecules for self-activated optical power limiting 

      Lunden, Hampus; Glimsdal, Eirik; Lindgren, Mikael; Lopes, Cesar (2018)
      Reverse saturable absorbers have shown great potential to attenuate laser radiation. Good candidate molecules and various particles have successfully been incorporated into different glass matrices, enabling the creation ...
    • Obtaining spectral information from infrared scenarios using hyper-spectral cameras and cameras with spinning filter wheel 

      Glimsdal, Eirik; Brendhagen, Erik; Thomassen, Jan Brede; Rheenen, Arthur Dirk Van; Heen, Lars Trygve (2014)
      In the past decades the Norwegian Defence Research Establishment (FFI) has recorded and characterized infrared scenarios for several application purposes, such as infrared target and background modeling and simulation, ...
    • Supporting artificial intelligence with artificial images 

      Aurdal, Lars; Brattli, Alvin Andreas; Glimsdal, Eirik; Klausen, Runhild Aae; Løkken, Kristin Hammarstrøm; Palm, Hans Christian (2018)
      Infrared (IR) imagery is frequently used in security/surveillance and military image processing applications. In this article we will consider the problem of outlining military naval vessels in such images. Obtaining these ...