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...

ver descrição completa

Detalhes bibliográficos

Principais autores:	Yulin Liu, Shuyuan Yang, Guangyang Zhang, Minghui Wu, Feng Xiong, Pinglv Yang, Zeming Zhou
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2025-08-01
coleção:	Remote Sensing
Assuntos:	ice and snow detection Unmanned Aerial Vehicle (UAV) imagery multi-scale feature fusion auxiliary path loss semantic segmentation
Acesso em linha:	https://www.mdpi.com/2072-4292/17/17/2964
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!