The Cryosphere
The Cryosphere
TC
Articles | Volume 10, issue 2
Articles | Volume 10, issue 2
https://doi.org/10.5194/tc-10-913-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/tc-10-913-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
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

Viewed

Total article views: 6,561 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,801 3,219 541 6,561 205 253
  • HTML: 2,801
  • PDF: 3,219
  • XML: 541
  • Total: 6,561
  • BibTeX: 205
  • EndNote: 253
Views and downloads (calculated since 21 Dec 2015)
Cumulative views and downloads (calculated since 21 Dec 2015)
Latest update: 08 Feb 2026
Download
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.
Read more
Share