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The Cryosphere An interactive open-access journal of the European Geosciences Union
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Volume 11, issue 1
The Cryosphere, 11, 33–46, 2017
https://doi.org/10.5194/tc-11-33-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
The Cryosphere, 11, 33–46, 2017
https://doi.org/10.5194/tc-11-33-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 11 Jan 2017

Research article | 11 Jan 2017

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

Natalia Zakhvatkina et al.
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Interactive discussion
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision
AR by Natalia Zakhvatkina on behalf of the Authors (23 Oct 2016)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (17 Nov 2016) by Claude Duguay
RR by Anonymous Referee #3 (29 Nov 2016)
RR by Anonymous Referee #2 (01 Dec 2016)
RR by Anonymous Referee #1 (02 Dec 2016)
ED: Publish subject to technical corrections (06 Dec 2016) by Claude Duguay
AR by Natalia Zakhvatkina on behalf of the Authors (15 Dec 2016)  Author's response    Manuscript
Publications Copernicus
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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.
The presented fully automated algorithm distinguishes open water (rough/calm) and sea ice based...
Citation