“Image Techniques for Identifying Sea-Ice Parameters”

Authors: Qin Zhang and Roger Skjetne,
Affiliation: NTNU, Department of Marine Technology
Reference: 2014, Vol 35, No 4, pp. 293-301.

Keywords: Image processing; Sea-ice; ice concentration Floe size distribution; Aerial sea-ice image; Fisheye sea-ice image; 360 degree camera system

Abstract: The estimation of ice forces are critical to Dynamic Positioning (DP) operations in Arctic waters. Ice conditions are important for the analysis of ice-structure interaction in an ice field. To monitor sea-ice conditions, cameras are used as field observation sensors on mobile sensor platforms in Arctic. Various image processing techniques, such as Otsu thresholding, k-means clustering, distance transform, Gradient Vector Flow (GVF) Snake, mathematical morphology, are then applied to obtain ice concentration, ice types, and floe size distribution from sea-ice images to ensure safe operations of structures in ice covered regions. Those techniques yield acceptable results, and their effectiveness are demonstrated in case studies.

PDF PDF (2567 Kb)        DOI: 10.4173/mic.2014.4.6

DOI forward links to this article:
[1] Roger Skjetne, Lars Imsland and Sveinung Løset (2014), doi:10.4173/mic.2014.4.1
[2] (2017), doi:10.3390/rs9090930
[3] Qin Zhang (2020), doi:10.1007/978-981-10-6963-5_131-1
[4] Hans-Martin Heyn, Mogens Blanke and Roger Skjetne (2020), doi:10.1109/JOE.2019.2899473
[5] Ole-Magnus Pedersen and Ekaterina Kim (2020), doi:10.3390/jmse8100770
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BibTeX:
@article{MIC-2014-4-6,
  title={{Image Techniques for Identifying Sea-Ice Parameters}},
  author={Zhang, Qin and Skjetne, Roger},
  journal={Modeling, Identification and Control},
  volume={35},
  number={4},
  pages={293--301},
  year={2014},
  doi={10.4173/mic.2014.4.6},
  publisher={Norwegian Society of Automatic Control}
};