SAR Algorithm for Sea Ice Concentration-Evaluation for the Baltic Sea

被引:19
作者
Berg, Anders [1 ]
Eriksson, Leif E. B. [1 ]
机构
[1] Chalmers Univ Technol, Dept Earth & Space Sci, S-41296 Gothenburg, Sweden
关键词
Autocorrelation; C-band; ice concentration; neural network; synthetic aperture radar (SAR); sea ice; IMAGERY; CLASSIFICATION; COOCCURRENCE;
D O I
10.1109/LGRS.2012.2186280
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
A new sea ice concentration algorithm has been developed for C-band synthetic aperture radar data. Detailed autocorrelation statistics are derived and adopted by the algorithm, and a neural network is utilized for training against 41 sea ice charts. The charts are produced by ice analysts at the Swedish Ice Service and cover the Baltic Sea. The classification of open water pixels is accurate to 94% on average, and the classification of sea ice pixels has an accuracy of 87%. This results in a root-mean-square error of 6.7 percentage points in estimating the sea ice concentration.
引用
收藏
页码:938 / 942
页数:5
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