“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.
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DOI: 10.4173/mic.2014.4.6DOI forward links to this article:
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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}
};