SAR Algorithm for Sea Ice Concentration-Evaluation for the Baltic Sea
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 Swe...
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          | Published in | IEEE geoscience and remote sensing letters Vol. 9; no. 5; pp. 938 - 942 | 
|---|---|
| Main Authors | , | 
| Format | Journal Article | 
| Language | English | 
| Published | 
        Piscataway
          IEEE
    
        01.09.2012
     The Institute of Electrical and Electronics Engineers, Inc. (IEEE)  | 
| Subjects | |
| Online Access | Get full text | 
| ISSN | 1545-598X 1558-0571 1558-0571  | 
| DOI | 10.1109/LGRS.2012.2186280 | 
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| Abstract | 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. | 
    
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| AbstractList | 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. | 
    
| Author | Eriksson, L. E. B. Berg, A.  | 
    
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| Snippet | A new sea ice concentration algorithm has been developed for C-band synthetic aperture radar data. Detailed autocorrelation statistics are derived and adopted... | 
    
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| SubjectTerms | Accuracy Algorithms Autocorrelation C-band Charts Classification Correlation ice concentration Marine neural network Neural networks Pixels SAR Sea ice Sea surface Statistics Synthetic aperture radar synthetic aperture radar (SAR) Training  | 
    
| Title | SAR Algorithm for Sea Ice Concentration-Evaluation for the Baltic Sea | 
    
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