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SAR Algorithm for Sea Ice Concentration - Evaluation for the Baltic Sea

Anders Berg (Institutionen för rymd- och geovetenskap, Radarfjärranalys) ; Leif E.B. Eriksson (Institutionen för rymd- och geovetenskap, Radarfjärranalys)
Geoscience and Remote Sensing Letters, IEEE (1545-598X). Vol. 9 (2012), 5, p. 938 - 942.
[Artikel, refereegranskad vetenskaplig]

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.

Nyckelord: autocorrelation, C-band, ice concentration, neural network, sea ice, synthetic aperture radar, SAR

Denna post skapades 2012-06-19. Senast ändrad 2014-10-09.
CPL Pubid: 159177


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Institutioner (Chalmers)

Institutionen för rymd- och geovetenskap, Radarfjärranalys (2010-2017)


Hållbar utveckling
Rymd- och flygteknik

Chalmers infrastruktur

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Spaceborne Synthetic Aperture Radar for Sea Ice Observations, Concentration and Dynamics