The Cryosphere
The Cryosphere
TC
Articles | Volume 11, issue 1
Articles | Volume 11, issue 1
https://doi.org/10.5194/tc-11-33-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/tc-11-33-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 11, issue 1
Research article
 | 
11 Jan 2017
Research article |  | 11 Jan 2017

Operational algorithm for ice–water classification on dual-polarized RADARSAT-2 images

Natalia Zakhvatkina, Anton Korosov, Stefan Muckenhuber, Stein Sandven, and Mohamed Babiker

Viewed

Total article views: 8,878 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,897 4,776 205 8,878 193 280
  • HTML: 3,897
  • PDF: 4,776
  • XML: 205
  • Total: 8,878
  • BibTeX: 193
  • EndNote: 280
Views and downloads (calculated since 21 Jun 2016)
Cumulative views and downloads (calculated since 21 Jun 2016)
Latest update: 03 Jan 2026
Download
Short summary
The presented fully automated algorithm distinguishes open water (rough/calm) and sea ice based on dual-polarized RS2 SAR images. Texture features are used for Support Vector Machines supervised image classification. The algorithm includes pre-processing and validation procedures. More than 2700 scenes were processed and the results show the good discrimination between open water and sea ice areas with accuracy 91 % compared with ice charts produced by MET Norway service.
Read more
Share