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| DOI | 10.5194/tc-11-33-2017 |
| Operational algorithm for ice-water classification on dual-polarized RADARSAT-2 images | |
| Zakhvatkina N.; Korosov A.; Muckenhuber S.; Sandven S.; Babiker M. | |
| 发表日期 | 2017 |
| ISSN | 19940416 |
| 卷号 | 11期号:1 |
| 英文摘要 | 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%. © Author(s) 2017. |
| 学科领域 | accuracy assessment; algorithm; backscatter; data processing; image classification; open water; polarization; RADARSAT; satellite imagery; sea ice; support vector machine; synthetic aperture radar; Arctic; Arkhangelsk [Russian Federation]; Franz Josef Land; Greenland; Russian Federation |
| 语种 | 英语 |
| scopus关键词 | accuracy assessment; algorithm; backscatter; data processing; image classification; open water; polarization; RADARSAT; satellite imagery; sea ice; support vector machine; synthetic aperture radar; Arctic; Arkhangelsk [Russian Federation]; Franz Josef Land; Greenland; Russian Federation |
| 来源期刊 | Cryosphere
 |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/119467 |
| 作者单位 | Nansen International Environmental and Remote Sensing Centre (Nansen Centre NIERSC), Office 49, 14th Line 7, Vasilievsky Island, St.-Petersburg, 199034, Russian Federation; Arctic and Antarctic Research Institute (AARI), Bering Str. 38, St.-Petersburg, 199397, Russian Federation; Nansen Environmental and Remote Sensing Center (NERSC), Thormøhlensgate 47, Bergen, 5006, Norway |
| 推荐引用方式 GB/T 7714 | Zakhvatkina N.,Korosov A.,Muckenhuber S.,et al. Operational algorithm for ice-water classification on dual-polarized RADARSAT-2 images[J],2017,11(1). |
| APA | Zakhvatkina N.,Korosov A.,Muckenhuber S.,Sandven S.,&Babiker M..(2017).Operational algorithm for ice-water classification on dual-polarized RADARSAT-2 images.Cryosphere,11(1). |
| MLA | Zakhvatkina N.,et al."Operational algorithm for ice-water classification on dual-polarized RADARSAT-2 images".Cryosphere 11.1(2017). |
| 条目包含的文件 | 条目无相关文件。 | |||||
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