• A Parallel FPGA Implementation of the CCSDS-123 Compression Algorithm 

      Orlandic, Milica; Fjeldtvedt, Johan Austlid; Johansen, Tor Arne (Journal article; Peer reviewed, 2019)
      Satellite onboard processing for hyperspectral imaging applications is characterized by large data sets, limited processing resources and limited bandwidth of communication links. The CCSDS-123 algorithm is a specialized ...
    • Densely Residual Network with Dual Attention for Hyperspectral Reconstruction from RGB Images 

      Wang, Lixia; Sole, Aditya Suneel; Hardeberg, Jon Yngve (Peer reviewed; Journal article, 2022)
      In the last several years, deep learning has been introduced to recover a hyperspectral image (HSI) from a single RGB image and demonstrated good performance. In particular, attention mechanisms have further strengthened ...
    • Feasibility Study on Hyperspectral LiDAR for Ancient Huizhou-Style Architecture Preservation 

      Shao, Hui; Chen, Yuwei; Yang, Zhirong; Jiang, Changhui; Li, Wei; Wu, Haohao; Wang, Shaowei; Yang, Fan; Chen, Jie; Puttnon, Eetu; Hyyppä, Juha (Journal article; Peer reviewed, 2020)
      Huizhou-style ancient architecture was one of the most important genres of architectural heritage in China. The architecture employed bricks, woods, and stones as raw materials, and timber frames were significant structures. ...
    • HYPSO-1 CubeSat: First Images and In-Orbit Characterization 

      Bakken, Sivert; Henriksen, Marie Bøe; Birkeland, Roger; Langer, Dennis David; Oudijk, Adriënne Esmeralda; Berg, Simen; Pursley, Yeshi; Garrett, Joseph Landon; Gran-Jansen, Fredrik; Honoré-Livermore, Evelyn; Grøtte, Mariusz Eivind Santora; Kristiansen, Bjørn Andreas; Orlandic, Milica; Gader, Paul; Sørensen, Asgeir Johan; Sigernes, Fred; Johnsen, Geir; Johansen, Tor Arne (Peer reviewed; Journal article, 2023)
      The HYPSO-1 satellite, a 6U CubeSat carrying a hyperspectral imager, was launched on 13 January 2022, with the Goal of imaging ocean color in support of marine research. This article describes the development and current ...
    • Machine Learning Approaches to Automatically Detect Glacier Snow Lines on Multi-Spectral Satellite Images 

      Prieur, Colin; Rabatel, Antoine; Thomas, Jean Baptiste; Farup, Ivar; Chanussot, Jocelyn (Peer reviewed; Journal article, 2022)
      Documenting the inter-annual variability and the long-term trend of the glacier snow line altitude is highly relevant to document the evolution of glacier mass changes. Automatically identifying the snow line on glaciers ...