Hyperspectral Image Classification Based on Attentional Residual Networks

Aiming at the problem that the features extracted by the existing convolutional neural Network model are insufficient and the more important information lacks key Attention in the process of hyperspectral image classification, this paper designs an Attention Residual Network (ARN). Firstly, the resi...

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Autors principals:	Ning Wang, Xin Pan, Xiaoling Luo, Xiaojing Gao
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2025-01-01
Col·lecció:	IEEE Access
Matèries:	Attention mechanism deep learning hyperspectral images image classification residual networks
Accés en línia:	https://ieeexplore.ieee.org/document/10806646/
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