globalchange  > 影响、适应和脆弱性
DOI: 10.5194/tc-11-33-2017
Scopus记录号: 2-s2.0-85009493296
论文题名:
Operational algorithm for ice-water classification on dual-polarized RADARSAT-2 images
作者: Zakhvatkina N; , Korosov A; , Muckenhuber S; , Sandven S; , Babiker M
刊名: Cryosphere
ISSN: 19940416
出版年: 2017
卷: 11, 期:1
起始页码: 33
结束页码: 46
语种: 英语
英文关键词: 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
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.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/75625
Appears in Collections:影响、适应和脆弱性
气候变化与战略

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作者单位: Nansen International Environmental and Remote Sensing Centre (Nansen Centre NIERSC), Office 49, 14th Line 7, Vasilievsky Island, St.-Petersburg, Russian Federation; Arctic and Antarctic Research Institute (AARI), Bering Str. 38, St.-Petersburg, Russian Federation; Nansen Environmental and Remote Sensing Center (NERSC), Thormøhlensgate 47, Bergen, Norway

Recommended Citation:
Zakhvatkina N,, Korosov A,, Muckenhuber S,et al. Operational algorithm for ice-water classification on dual-polarized RADARSAT-2 images[J]. Cryosphere,2017-01-01,11(1)
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