Hyperspectral Image Classification Based on Attentional Residual Networks

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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Bibliographic Details
Main Authors: Ning Wang, Xin Pan, Xiaoling Luo, Xiaojing Gao
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Attention mechanism
deep learning
hyperspectral images
image classification
residual networks
Online Access:https://ieeexplore.ieee.org/document/10806646/
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https://ieeexplore.ieee.org/document/10806646/

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