High accuracy water level estimation using super-resolution Sentinel-1 data

doi:10.1016/j.jag.2026.105156

2026-02-12

Yan Jia

Quan Liu

Hongjie He *

金双根 (Shuanggen Jin) *

Chunqiao Song

Kyle Gao

Zebiao Wu

DOI：10.1016/j.jag.2026.105156

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摘要

En 中文

• Real-ESRGAN首次应用于Sentinel-1 SAR，用于精确的水体制图。 • 针对SAR优化的特征提取提升了分辨率和检测鲁棒性。 • 实现了无需额外数据即可进行精确、高分辨率的水位估计。

Keyword:

Machine learning

River

Super-resolution

Sentinel-1

Water level

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International Journal of Applied Earth Observation and Geoinformation

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