Spectral-Spatial Dual-Branch Selective Fusion Enhanced Transformer for Hyperspectral Image Classification

In recent years, deep learning approaches that integrate convolutional neural networks (CNNs) with Transformer architectures have greatly enhanced the accuracy of hyperspectral image (HSI) classification. However, the combination of these two methods has not fully explored the deep correlations betw...

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Główni autorzy:	Haixin Sun, Jingwen Xu, Fanlei Meng, Qiuguang Cao, Mengdi Cheng
Format:	Artigo
Język:	Inglês
Wydane:	IEEE 2025-01-01
Seria:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Hasła przedmiotowe:	Hyperspectral image (HSI) classification spectral-spatial dual-branch spectral spatial selection attention transformer
Dostęp online:	https://ieeexplore.ieee.org/document/11098850/
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