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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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Hoofdauteurs: Ning Wang, Xin Pan, Xiaoling Luo, Xiaojing Gao
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: IEEE 2025-01-01
Reeks:IEEE Access
Onderwerpen:
Attention mechanism
deep learning
hyperspectral images
image classification
residual networks
Online toegang:https://ieeexplore.ieee.org/document/10806646/
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