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  • Nils Olav Handegard
    CRIMAC
    Zarr
    Technology stack used in CRIMAC for accessing acoustic data.
  • Nils Olav Handegard
    CRIMAC
    LSSS
    U-net
    The U-Net algorithm for detecting Sand Eel running within LSSS for predicting Sand eel schools.
  • Leif Bildøy
    Kongsberg Maritime
    Simrad
    Blue Insight
    CRIMAC
    CRIMAC processing pipelines running on multiple platforms through Blue Insight
  • Rolf Korneliussen
    CRIMAC
    LSSS
    Noise measurements
    Broad band
    EK80
    Narrowband noise in a broadband signal
  • Alba Ordoñes
    CRIMAC
    Deep learning
    Machine learning
    Figure 2 from Ordoñez, Alba, Ingrid Utseth, Olav Brautaset, Rolf Korneliussen, and Nils Olav Handegard. “Evaluation of Echosounder Data Preparation Strategies for Modern Machine Learning Models.” Fisheries Research 254 (October 1, 2022): 106411. https://doi.org/10.1016/j.fishres.2022.106411.
  • Geir Pedersen
    CRIMAC
    EK80
    FM
    CW
    Echosounder data (echogram) from the Lofoten Vesterålen Ocean Observatory illustrating the improved resolution with broadband signals (FM) over conventional narrowband signals (CW). The same aggregation of marine organisms was observed first with CW before switching to FM.
  • Maria Mikaela Tenningen
    CRIMAC
    Trawl
    Sound cloud
    Deep Vision
    Working with the trawl to get the optical system above the sand cloud.
  • Geir Pedersen
    CRIMAC
    Gas seeps
    EK80
    Methane seeps
    Bubble acoustics
    Broadband echogram showing backscattering by a small natural seep of methane (red box) near Node 7 of the Lofoten Vesterålen Ocean Observatory. The broadband frequency response of the seep is also shown (lower right inset). The seep consists of a few small single bubbles rising from the seafloor at a depth of 220 meters, clearly observed in the broadband data.
  • Geir Pedersen
    CRIMAC
    Acosutic nearfield
    Boundary Element Method
    Fast Multipole
    Acoustic nearfield modelling of scattering using the Boundary Element Method (BEM) with Fast Multipole performed on a conventional laptop.
  • Geir Huse
    CRIMAC
    Armadastrategy
    Sounder
    AUV
    Glider
    Research Vessel
    The Armada strategy combining research vessels and autonomous platforms. CRIMAC is developing this strategy for acoustic trawl surveys.
  • Vaneeda Shalini Devi Allken
    CRIMAC
    ekkogram
    histogram
    Echogram of station 364 (38 kHz) with depth profile and predictions of blue whiting (blue), herring (red), mackerel (green), and mesopelagic fishes (orange). Images at top are from the positions indicated along the trawl’s path and show the bounding boxes calculated by the object detection model. The size of the bubbles in the centre panel are proportional to the number of fish predicted per minute. The stacked histogram at bottom similarly shows the number of each fish species per minute but avoids the problem of the blue whiting symbol obscuring mesopelagic fishes. DOI 10.1093/icesjms/fsab227