Improved Transformer Network Based on Multiscale Grouping Feature Fusion for Hyperspectral Image Classification

In recent years, hyperspectral image classification methods based on convolutional neural networks and Transformer architectures have achieved remarkable success. However, existing Transformer-based models exhibit several limitations, including insufficient capability in modeling local spectral stru...

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Detalhes bibliográficos

Principais autores:	Lin Wei, Yuhang Liu, Yuping Yin, Yanning E., Jinlong Gu
Formato:	Artigo
Idioma:	Inglês
Publicado em:	IEEE 2025-01-01
coleção:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Assuntos:	Feature fusion hyperspectral image (HSI) classification multiscale grouped weight attention (MGWA) vision transformer (ViT)
Acesso em linha:	https://ieeexplore.ieee.org/document/11119789/
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