Sea ice concentration estimation from Sentinel-1 Synthetic Aperture Radar images over the Fram Strait
© 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...
Published in: | 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) |
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Main Authors: | , , |
Language: | unknown |
Published: |
2016
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Subjects: | |
Online Access: | https://doi.org/10.1109/IGARSS.2016.7731001 https://research.chalmers.se/en/publication/247513 |
Summary: | © 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. |
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