SAR Algorithm for Sea Ice Concentration - Evaluation for the Baltic Sea
Journal article, 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

Author

Anders Berg

Chalmers, Earth and Space Sciences, Radar Remote Sensing

Leif Eriksson

Chalmers, Earth and Space Sciences, Radar Remote Sensing

IEEE Geoscience and Remote Sensing Letters

1545-598X (ISSN)

Vol. 9 5 938 - 942 6170542

Driving Forces

Sustainable development

Subject Categories

Aerospace Engineering

Oceanography, Hydrology, Water Resources

DOI

10.1109/LGRS.2012.2186280

More information

Created

10/6/2017