A Deep Fusion uNet for Mapping Forests at Tree Species Levels with Multi-Temporal High Spatial Resolution Satellite Imagery

It is critical to acquire the information of forest type at the tree species level due to its strong links with various quantitative and qualitative indicators in forest inventories. The efficiency of deep-learning classification models for high spatial resolution (HSR) remote sensing image has been...

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Detalhes bibliográficos

Principais autores:	Ying Guo, Zengyuan Li, Erxue Chen, Xu Zhang, Lei Zhao, Enen Xu, Yanan Hou, Lizhi Liu
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2021-09-01
Colecção:	Remote Sensing
Assuntos:	forest type deep learning multi-temporal GF-2
Acesso em linha:	https://www.mdpi.com/2072-4292/13/18/3613
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