Deep Learning Based Sea Ice Classification with Gaofen-3 Fully Polarimetric SAR Data

• Published in: Remote Sensing
• Main Authors: Tianyu Zhang, Ying Yang, Mohammed Shokr, Chunlei Mi, Xiao-Ming Li, Xiao Cheng, Fengming Hui
• Format: Article in Journal/Newspaper
• Language: English
• Published: MDPI AG 2021
• Subjects: Gaofen-3; polarimetric data; sea ice classification; residual convolutional network; Science; Q; Arctic; Arctic Ocean; Severnaya Zemlya; Beaufort Sea; Fram Strait; Sea ice
• Online Access: https://doi.org/10.3390/rs13081452; https://doaj.org/article/307cbae3fab84835ba0149481b4dfaa6

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...