Detection of Surface Crevasses over Antarctic Ice Shelves Using SAR Imagery and Deep Learning Method

Crevasses are formed by glacier movement and the stresses within glacier ice. Knowledge of the crevasses’ distribution is critical for understanding the glacier and ice shelf stability. In this study, we propose an automated crevasse extraction framework based on Sentinel-1 SAR imagery and an improv...

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Hlavní autoři:	Jingjing Zhao, Shuang Liang, Xinwu Li, Yiru Duan, Lei Liang
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2022-01-01
Edice:	Remote Sensing
Témata:	crevasses Sentinel-1 SAR improved U-Net network Antarctic ice shelves
On-line přístup:	https://www.mdpi.com/2072-4292/14/3/487
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