CNN and Transformer Fusion Network for Sea Ice Classification Using GaoFen-3 Polarimetric SAR Images

CNN and Transformer Fusion Network for Sea Ice Classification Using GaoFen-3 Polarimetric SAR Images

This article investigates the safety risks associated with sea ice along the Arctic Route by using polar sea ice images obtained by Gaofen-3 (GF3) Synthetic Aperture Radar (SAR) satellites. We collected three SAR datasets, representative of GF3 satellites' operational modes, and construct...

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Hlavní autoři: Jiande Zhang, Wenyi Zhang, Xiao Zhou, Qingwei Chu, Xiaoyi Yin, Guangzuo Li, Xiangyu Dai, Shuo Hu, Fukun Jin
Médium: Článek
Jazyk:English
Vydáno: IEEE 2024-01-01
Edice:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Témata:
CNN and transformer
sea ice classification
semantic segmentation
synthetic aperture radar
On-line přístup:https://ieeexplore.ieee.org/document/10685475/

Internet

https://ieeexplore.ieee.org/document/10685475/

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