Articles | Volume 10, issue 2
Research article
26 Apr 2016
Research article |  | 26 Apr 2016

Open-source feature-tracking algorithm for sea ice drift retrieval from Sentinel-1 SAR imagery

Stefan Muckenhuber, Anton Andreevich Korosov, and Stein Sandven

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Cited articles

Anonymous: (last access: 25 April 2016), 2014.
Bay, H., Tuytelaars, T., and Van Gool, L.: Surf: Speeded Up Robust Features, in: Computer Vision – ECCV 2006, 9th European Conference on Computer Vision, Proceedings, Part I, 7–13 May 2006, Graz, Austria, 404–417,, 2006.
Calonder, M., Lepetit, V., Strecha, C., and Fua, P.: BRIEF: Binary Robust Independent Elementary Features, CVLab, EPFL, Lausanne, Switzerland, 1281–1298, 2010.
Cressie, N.: Statistics for spatial data: Wiley series in probability and statistics, Wiley-Interscience, New York, 15, 105–209, 1993.
ESA: Sentinel-1 ESA's Radar Observatory Mission for GMES Operational Services, ESA Communications, SP-1322/1, ESA, the Netherlands, 15–21, 2012.
Short summary
Presently, sea ice drift data do not provide sufficient resolution to estimate convergence and divergence fields on a spatial scaling of a few kilometres. Our goal is to exploit recent improvements and developments in computer vision by adopting a state-of-the-art feature-tracking algorithm to derive high-resolution sea ice drift. A computationally efficient algorithm has been considered, tuned and compared with other available feature-tracking algorithms.