SAR Algorithm for Sea Ice Concentration - Evaluation for the Baltic Sea
Artikel i vetenskaplig tidskrift, 2012
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.
autocorrelation
SAR
synthetic aperture radar
neural network
sea ice
ice concentration
C-band
Författare
Anders Berg
Chalmers, Rymd- och geovetenskap, Radarfjärranalys
Leif Eriksson
Chalmers, Rymd- och geovetenskap, Radarfjärranalys
IEEE Geoscience and Remote Sensing Letters
1545-598X (ISSN) 15580571 (eISSN)
Vol. 9 5 938 - 942 6170542Drivkrafter
Hållbar utveckling
Ämneskategorier
Rymd- och flygteknik
Oceanografi, hydrologi, vattenresurser
DOI
10.1109/LGRS.2012.2186280