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HResNetAM: Hierarchical Residual Network With Attention Mechanism for Hyperspectral Image Classification

This article proposes a novel hierarchical residual network with attention mechanism (HResNetAM) for hyperspectral image (HSI) spectral-spatial classification to improve the performance of conventional deep learning networks. The straightforward convolutional neural network-based models have limitat...

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Detalhes bibliográficos
Principais autores: Zhixiang Xue, Xuchu Yu, Bing Liu, Xiong Tan, Xiangpo Wei
Formato: Artigo
Idioma:Inglês
Publicado em: IEEE 2021-01-01
Colecção:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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Acesso em linha:https://ieeexplore.ieee.org/document/9380686/
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