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)

Vol. 9 5 938 - 942 6170542

Drivkrafter

Hållbar utveckling

Ämneskategorier

Rymd- och flygteknik

Oceanografi, hydrologi, vattenresurser

DOI

10.1109/LGRS.2012.2186280