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SAR Algorithm for S...
SAR Algorithm for Sea Ice Concentration - Evaluation for the Baltic Sea
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- Berg, Anders, 1983 (författare)
- Chalmers tekniska högskola,Chalmers University of Technology
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- Eriksson, Leif, 1970 (författare)
- Chalmers tekniska högskola,Chalmers University of Technology
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(creator_code:org_t)
- 2012
- 2012
- Engelska.
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Ingår i: IEEE Geoscience and Remote Sensing Letters. - 1558-0571 .- 1545-598X. ; 9:5, s. 938 - 942
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- 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.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Maskinteknik -- Rymd- och flygteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Mechanical Engineering -- Aerospace Engineering (hsv//eng)
- NATURVETENSKAP -- Geovetenskap och miljövetenskap -- Oceanografi, hydrologi och vattenresurser (hsv//swe)
- NATURAL SCIENCES -- Earth and Related Environmental Sciences -- Oceanography, Hydrology and Water Resources (hsv//eng)
Nyckelord
- autocorrelation
- SAR
- synthetic aperture radar
- neural network
- sea ice
- ice concentration
- C-band
Publikations- och innehållstyp
- art (ämneskategori)
- ref (ämneskategori)
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