• 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 ...
    • An Agile Systems Engineering Analysis of a University CubeSat Project Organization 

      Honoré-Livermore, Evelyn; Lyells, Ron; Garrett, Joseph; Angier, Robert (Rock); Epps, Bob (Peer reviewed; Journal article, 2021)
      University CubeSat projects become popular in recent decades, and face challenges that include both technical and sociotechnical aspects. However, these teams often lack the infrastructure and resources for having effective ...
    • 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 ...
    • Clustering and Classification of hyperspectral images on the HYPSO CubeSat 

      Danielsen, Aksel (Master thesis, 2021)
      NTNU SmallSat Lab utvikler HYPSO, en kubesatellitt som skal overvåke havet ved bruk av et hyperspektralt kamera. Prosesseringen av hyperspektrale bilder ombord blir gjort serielt i en prosesseringskjede som ble utviklet ...
    • Comparing pre- and post-launch images from the HYPSO-1 cubesat hyperspectral imager 

      Henriksen, Marie Bøe; Garrett, Joseph; Johansen, Tor Arne; Sigernes, Fred (Journal article, 2022)
      HYPSO-1, a 6U cubesat carrying a hyperspectral imaging payload for ocean color observation, was launched in January 2022. During the commissioning and validation phases, the satellite and payload performance were tested. ...
    • Density classification of marine seagrass (Zostera marina) for blue carbon estimation using drones and Convolution Neural Networks 

      Borger, Casper (Master thesis, 2024)
      Denne masteroppgaven undersøker bruk av konvolusjonelle nevrale nettverk for estimering av blå karbon basert på data samlet fra dronebilder og feltundersøkelser. Studien konsentrerer seg om en sjøgressart kalt ålegras ...
    • Digital Engineering Management in an Academic CubeSat Project 

      Honoré-Livermore, Evelyn; Birkeland, Roger; Bakken, Sivert; Garrett, Joseph; Haskins, Cecilia (Peer reviewed; Journal article, 2021)
      Digital engineering is increasingly introduced for managing and supporting the development of systems for space. However, few academic teams have the competency needed to manage projects using digital engineering and systems ...
    • 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)
    • Real-time classification onboard the HYPSO-1 satellite 

      Gjendem Røysland, Jonas (Master thesis, 2023)
      Denne oppgaven foretar seg designet og utviklingen av klassifiserings modulen i bildeprosseringen på HYPSO-1 satelliten. Oppgaven til modulen er å lage et klassifisert bilde som innholder klasser som land, vann og skyer ...
    • 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. ...
    • Self-Organizing Maps for Fusion of Spectral Images 

      Woldstad, Trym (Master thesis, 2023)
      Denne oppgaven utforsker en ny anvendelse av selvorganiserende kart (SOM) for multimodal bildefusjon i fjernmåling. Forskningen bygger på arbeidet til HYPSO-satellittprosjektet og SeaBee-prosjektet, som begge tar sikte på ...
    • Software Development and Integration of a Hyperspectral Imaging Payload for HYPSO-1 

      Bakken, Sivert; Honoré-Livermore, Evelyn; Birkeland, Roger; Orlandic, Milica; Prentice, Elizabeth Frances; Garrett, Joseph; Langer, Dennis D.; Haskins, Cecilia; Johansen, Tor Arne (Peer reviewed; Journal article, 2022)
      This paper presents the software architecture, development, and integration of a Commercial Off-The-Shelf (COTS) based hyperspectral imaging payload onboard the HYPerspectral Smallsat for Ocean observation (HYPSO-1) CubeSat. ...
    • Testing of Software-Intensive Hyperspectral Imaging Payload for the HYPSO-1 CubeSat 

      Bakken, Sivert; Birkeland, Roger; Garrett, Joseph; Marton, Amund R.; Orlandic, Milica; Honoré-Livermore, Evelyn; Langer, Dennis D.; Haskins, Cecilia; Johansen, Tor Arne (Peer reviewed; Journal article, 2022)
      The growing community of CubeSats vendors makes it possible to launch and fly novel payloads for targeted applications by procuring flight-proven CubeSat platforms. The importance of embedded software for such Commercial ...