• A Lightweight Payload for Hyperspectral Remote Sensing using Small UAVS 

      Fortuna, João; Johansen, Tor Arne (Journal article; Peer reviewed, 2018)
      In this paper we describe a lightweight hyperspectral imaging payload consisting of a push-broom imager, GPS and IMU sensors as well as data synchronization and acquisition systems. The payload is developed in a modular ...
    • Accelerating support vector machines for remote platforms by increasing sparsity 

      Garrett, Joseph; Singh, N; Johansen, Tor Arne; Necoara, Ion (Peer reviewed; Journal article, 2022)
      The support vector machine (SVM) classification algorithm often achieves quite high accuracy on hyperspectral images, even when trained on small amounts of data. However, SVMs can still be computationally expensive relative ...
    • Accuracy of a slew maneuver for the HYPSO-1 hyperspectral imaging satellite — in-orbit results 

      Kristiansen, Bjørn Andreas; Langer, Dennis David; Garrett, Joseph Landon; Berg, Simen; Gravdahl, Jan Tommy; Johansen, Tor Arne (Peer reviewed; Journal article, 2023)
      In this paper, the accuracy of a slew maneuver performed by the HYPSO-1 satellite is analysed based on the data received during the satellite’s first months in orbit. The slew maneuver, during which the satellite turns ...
    • Campaign For Hyperspectral Data Validation In North Atlantic Coastal Waters 

      Oudijk, Esmée; Hasler, Oliver Kevin; Overaas, H; Marty, Sabine; Williamson, David; Svendsen, T; Berg, Simen; Birkeland, Roger; Halvorsen, D; Bakken, S; Henriksen, Marie Bøe; Alver, Morten; Johnsen, Geir; Johansen, Tor Arne; Stahl, Annette; Kvaløy, Pål; Dallolio, Alberto; Majaneva, Sanna; Fragoso, Glaucia Moreira; Garrett, Joseph (Peer reviewed; Journal article, 2022)
      The high photosynthetic productivity of the Mausund bank on the coast of mid-Norway has given the area important economic and ecologic value. Monitoring chlorophyll-a (chl-a) production can assist in managing the local ...
    • A closer look at a spectrographic wavelength calibration 

      Henriksen, Marie Bøe; Sigernes, Fred; Johansen, Tor Arne (Peer reviewed; Journal article, 2022)
      Methods to spectrally calibrate imaging spectrographs, also known as Hyperspectral Imagers (HSIs), are common and known, but few look into how well the wavelength calibration performs. When building hyperspectral instruments ...
    • Comparing Filters for Correction of Second Order Diffraction Effects in Hyperspectral Imagers 

      Henriksen, Marie Bøe; Sigernes, Fred; Johansen, Tor Arne (Journal article; Peer reviewed, 2023)
      Second order diffraction effects often occur in hyperspectral instruments with dispersive elements. These second (and higher) order diffractions are typically unwanted, and should therefore be removed. One way of achieving ...
    • Evaluating hyperspectral Secchi depth retrieval through hybrid modeling and regression 

      Bakken, Sivert; Luis, Kelly; Johnsen, Geir; Johansen, Tor Arne (Peer reviewed; Journal article, 2023)
      This work compares different regression models combined with hybrid modeling to estimate water clarity using hyper-spectral remote sensing data. The Secchi depth, a proxy of water clarity, can be modeled using first ...
    • Independent component analysis: A tool for algal bloom detection 

      Penne, Cameron Louis; Garrett, Joseph Landon; Johansen, Tor Arne; Orlandic, Milica; Heggebø, Ragna (Peer reviewed; Journal article, 2023)
      Independent component analysis decomposition of hyperspectral signals has characteristics ideal for detecting harmful algal blooms in coastal waters. In this proceeding, independent component analysis is used to process ...
    • Interactive hyperspectral data inspection during field operations 

      Langer, Dennis D.; Sørensen, Asgeir Johan; Johansen, Tor Arne (Peer reviewed; Journal article, 2022)
      Hyperspectral data cubes generated from hyperspectral cameras can be hard to inspect in during a field operation as the data is collected. This is due to the high spectral dimension of the data, resulting in large data ...
    • A modular hyperspectral image processing pipeline for cubesats 

      Bakken, Sivert; Danielsen, Aksel; Døsvik, K; Garrett, Joseph; Orlandic, Milica; Langer, Dennis D.; Johansen, Tor Arne (Peer reviewed; Journal article, 2022)
      This work describes the onboard image processing pipeline that is designed to be used onboard a CubeSat with a Hyper Spectral (Imager/Image) (HSI), namely the HYPSO-I satellite. While the system itself supports both the ...
    • ON-BOARD CHARACTERIZATION OF HYPERSPECTRAL IMAGE EXPOSURE AND CLOUD COVERAGE BY COMPRESSION RATIO 

      Birkeland, Roger; Berg, Simen; Orlandic, Milica; Garrett, Joseph (Peer reviewed; Journal article, 2022)
    • Onboard Hyperspectral Classification Enables Georeferencing 

      Langer, Dennis David; Garrett, Joseph Landon; Birkeland, Roger; Berg, Simen; Orlandic, Milica (Journal article; Peer reviewed, 2023)
      The Norwegian University of Science and Technology (NTNU) has been building a system composed of multiple remote sensing agents for ocean observations. NTNU launched the first HYPerspectral Smallsat for Ocean observation ...
    • Real-time Corrections for a Low-cost Hyperspectral Instrument 

      Henriksen, Marie Bøe; Garrett, Joseph; Prentice, Elizabeth Frances; Sigernes, Fred; Stahl, Annette; Johansen, Tor Arne (Journal article; Peer reviewed, 2019)
      The development of a hyperspectral imager (HSI) made from commercial off-the-shelf (COTS) parts enables the use of hyperspectral imaging on smaller low-cost platforms such as cubesats, drones, or other autonomous vehicles. ...
    • Simulation tool for hyper-spectral imaging from a satellite 

      Lapadatu, Monica; Bakken, Sivert; Grøtte, Mariusz Eivind; Alver, Morten; Johansen, Tor Arne (Journal article; Peer reviewed, 2019)
      This paper presents a tool created for simulating the expected radiance from oceanic geophysical parameters through the atmosphere as perceived by a hyperspectral remote sensing satellite. The effects of varying off-nadir ...