Abstract: Fine-grained semantic segmentation of remote sensing imagery is critical for applications such as land use analysis and agricultural monitoring. However, it remains challenging due to the ...
Abstract: Monitoring glacial lakes is critical for assessing climate change impacts and mitigating glacial lake outburst flood risks. This study evaluates three deep learning architectures, U-Net, ...
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