Sea ice concentration estimation from Sentinel-1 Synthetic Aperture Radar images over the Fram Strait
Paper i proceeding, 2016

© 2016 IEEE.In this paper we present an algorithm for sea ice concentration estimation in the Arctic from C-band dual polarization Sentinel-1A SAR images. The algorithm is based on spatial autocorrelation and utilizes an artificial neural network to map the image information to sea ice concentration. The cross-polarization channel facilitates the improvement of concentration estimates of images with high backscatter over open water in the normally used co-polarization channel. Ice charts from the Norwegian meteorological institute are used for the training of the network and as a reference. A mean absolute error of 14.55 (ice concentration is given in the range from 0 to 100) of a test data set consisting of 20 images underlines the capabilities of the proposed algorithm.

Arctic

Autocorrelation

Cross-polarization

Sentinel-1

Sea Ice Concentration

Författare

Wiebke Aldenhoff

Chalmers, Rymd- och geovetenskap, Radarfjärranalys

Anders Berg

Chalmers, Rymd- och geovetenskap, Radarfjärranalys

Leif Eriksson

Chalmers, Rymd- och geovetenskap, Radarfjärranalys

36th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016; Beijing; China; 10-15 July 2016

Vol. 2016-November Art no 7731001, Pages 7675-7677

Radar remote sensing of sea ice in the Polar regions

Rymdstyrelsen, 2014-01-01 -- 2016-12-31.

Styrkeområden

Transport

Ämneskategorier

Fjärranalysteknik

Oceanografi, hydrologi, vattenresurser

Fundament

Grundläggande vetenskaper

DOI

10.1109/IGARSS.2016.7731001

Mer information

Senast uppdaterat

2020-06-11