IceSnow-Net: A Deep Semantic Segmentation Network for High-Precision Snow and Ice Mapping from UAV Imagery

Accurate monitoring of snow and ice cover is essential for climate research and disaster management, but conventional remote sensing methods often struggle in complex terrain and fog-contaminated conditions. To address the challenges of high-resolution UAV-based snow and ice segmentation—including v...

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Hlavní autoři:	Yulin Liu, Shuyuan Yang, Guangyang Zhang, Minghui Wu, Feng Xiong, Pinglv Yang, Zeming Zhou
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2025-08-01
Edice:	Remote Sensing
Témata:	ice and snow detection Unmanned Aerial Vehicle (UAV) imagery multi-scale feature fusion auxiliary path loss semantic segmentation
On-line přístup:	https://www.mdpi.com/2072-4292/17/17/2964
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