Deep Learning Based Sea Ice Classification with Gaofen-3 Fully Polarimetric SAR Data
In this paper, the performance of C-band synthetic aperture radar (SAR) Gaofen-3 (GF-3) quad-polarization Stripmap (QPS) data is assessed for classifying late spring and summer sea ice types. The investigation is based on 18 scenes of GF-3 QPS data acquired in the Arctic Ocean in 2017. In this study...
Published in: | Remote Sensing |
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Main Authors: | , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
MDPI AG
2021
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Subjects: | |
Online Access: | https://doi.org/10.3390/rs13081452 https://doaj.org/article/307cbae3fab84835ba0149481b4dfaa6 |