Squeeze-SwinFormer: Spectral Squeeze and Excitation Swin Transformer Network for Hyperspectral Image Classification

Hyperspectral images are highly complex, containing a richer spectral dimension compared to conventional images. Deep learning methods are increasingly being applied to process this three-dimensional data for hyperspectral image classification (HSIC). The vision transformer model is steadily gaining...

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Bibliografski detalji

Glavni autori:	Farhan Ullah, Irfan Ullah, Khalil Khan, Salabat Khan, Quan Wang, Shabbab Ali Algamdi, Haya Aldossary
Format:	Artigo
Jezik:	Inglês
Izdano:	IEEE 2025-01-01
Serija:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Teme:	Classification hyperspectral image classification (HSIC) squeeze and excitation (SE) Squeeze-SwinFormer Swin transformer (SwinT)
Online pristup:	https://ieeexplore.ieee.org/document/11108235/
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