The Cryosphere
The Cryosphere
TC
Articles | Volume 16, issue 10
Articles | Volume 16, issue 10
https://doi.org/10.5194/tc-16-4273-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-16-4273-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 10
Research article
 | 
13 Oct 2022
Research article |  | 13 Oct 2022

Glacier extraction based on high-spatial-resolution remote-sensing images using a deep-learning approach with attention mechanism

Xinde Chu, Xiaojun Yao, Hongyu Duan, Cong Chen, Jing Li, and Wenlong Pang

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Latest update: 26 Apr 2024
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Short summary
The available remote-sensing data are increasingly abundant, and the efficient and rapid acquisition of glacier boundaries based on these data is currently a frontier issue in glacier research. In this study, we designed a complete solution to automatically extract glacier outlines from the high-resolution images. Compared with other methods, our method achieves the best performance for glacier boundary extraction in parts of the Tanggula Mountains, Kunlun Mountains and Qilian Mountains.
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