Operational algorithm for ice–water classification on dual-polarized RADARSAT-2 images
Synthetic Aperture Radar (SAR) data from RADARSAT-2 (RS2) in dual-polarization mode provide additional information for discriminating sea ice and open water compared to single-polarization data. We have developed an automatic algorithm based on dual-polarized RS2 SAR images to distinguish open water...
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ftcopernicus:oai:publications.copernicus.org:tc51646 2023-05-15T16:18:12+02:00 Operational algorithm for ice–water classification on dual-polarized RADARSAT-2 images Zakhvatkina, Natalia Korosov, Anton Muckenhuber, Stefan Sandven, Stein Babiker, Mohamed 2018-09-27 application/pdf https://doi.org/10.5194/tc-11-33-2017 https://tc.copernicus.org/articles/11/33/2017/ eng eng doi:10.5194/tc-11-33-2017 https://tc.copernicus.org/articles/11/33/2017/ eISSN: 1994-0424 Text 2018 ftcopernicus https://doi.org/10.5194/tc-11-33-2017 2020-07-20T16:23:52Z Synthetic Aperture Radar (SAR) data from RADARSAT-2 (RS2) in dual-polarization mode provide additional information for discriminating sea ice and open water compared to single-polarization data. We have developed an automatic algorithm based on dual-polarized RS2 SAR images to distinguish open water (rough and calm) and sea ice. Several technical issues inherent in RS2 data were solved in the pre-processing stage, including thermal noise reduction in HV polarization and correction of angular backscatter dependency in HH polarization. Texture features were explored and used in addition to supervised image classification based on the support vector machines (SVM) approach. The study was conducted in the ice-covered area between Greenland and Franz Josef Land. The algorithm has been trained using 24 RS2 scenes acquired in winter months in 2011 and 2012, and the results were validated against manually derived ice charts of the Norwegian Meteorological Institute. The algorithm was applied on a total of 2705 RS2 scenes obtained from 2013 to 2015, and the validation results showed that the average classification accuracy was 91 ± 4 %. Text Franz Josef Land Greenland Sea ice Copernicus Publications: E-Journals Franz Josef Land ENVELOPE(55.000,55.000,81.000,81.000) Greenland The Cryosphere 11 1 33 46 |
institution |
Open Polar |
collection |
Copernicus Publications: E-Journals |
op_collection_id |
ftcopernicus |
language |
English |
description |
Synthetic Aperture Radar (SAR) data from RADARSAT-2 (RS2) in dual-polarization mode provide additional information for discriminating sea ice and open water compared to single-polarization data. We have developed an automatic algorithm based on dual-polarized RS2 SAR images to distinguish open water (rough and calm) and sea ice. Several technical issues inherent in RS2 data were solved in the pre-processing stage, including thermal noise reduction in HV polarization and correction of angular backscatter dependency in HH polarization. Texture features were explored and used in addition to supervised image classification based on the support vector machines (SVM) approach. The study was conducted in the ice-covered area between Greenland and Franz Josef Land. The algorithm has been trained using 24 RS2 scenes acquired in winter months in 2011 and 2012, and the results were validated against manually derived ice charts of the Norwegian Meteorological Institute. The algorithm was applied on a total of 2705 RS2 scenes obtained from 2013 to 2015, and the validation results showed that the average classification accuracy was 91 ± 4 %. |
format |
Text |
author |
Zakhvatkina, Natalia Korosov, Anton Muckenhuber, Stefan Sandven, Stein Babiker, Mohamed |
spellingShingle |
Zakhvatkina, Natalia Korosov, Anton Muckenhuber, Stefan Sandven, Stein Babiker, Mohamed Operational algorithm for ice–water classification on dual-polarized RADARSAT-2 images |
author_facet |
Zakhvatkina, Natalia Korosov, Anton Muckenhuber, Stefan Sandven, Stein Babiker, Mohamed |
author_sort |
Zakhvatkina, Natalia |
title |
Operational algorithm for ice–water classification on dual-polarized RADARSAT-2 images |
title_short |
Operational algorithm for ice–water classification on dual-polarized RADARSAT-2 images |
title_full |
Operational algorithm for ice–water classification on dual-polarized RADARSAT-2 images |
title_fullStr |
Operational algorithm for ice–water classification on dual-polarized RADARSAT-2 images |
title_full_unstemmed |
Operational algorithm for ice–water classification on dual-polarized RADARSAT-2 images |
title_sort |
operational algorithm for ice–water classification on dual-polarized radarsat-2 images |
publishDate |
2018 |
url |
https://doi.org/10.5194/tc-11-33-2017 https://tc.copernicus.org/articles/11/33/2017/ |
long_lat |
ENVELOPE(55.000,55.000,81.000,81.000) |
geographic |
Franz Josef Land Greenland |
geographic_facet |
Franz Josef Land Greenland |
genre |
Franz Josef Land Greenland Sea ice |
genre_facet |
Franz Josef Land Greenland Sea ice |
op_source |
eISSN: 1994-0424 |
op_relation |
doi:10.5194/tc-11-33-2017 https://tc.copernicus.org/articles/11/33/2017/ |
op_doi |
https://doi.org/10.5194/tc-11-33-2017 |
container_title |
The Cryosphere |
container_volume |
11 |
container_issue |
1 |
container_start_page |
33 |
op_container_end_page |
46 |
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1766004344420827136 |