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...

وصف كامل

التفاصيل البيبلوغرافية

المؤلفون الرئيسيون:	Farhan Ullah, Irfan Ullah, Khalil Khan, Salabat Khan, Quan Wang, Shabbab Ali Algamdi, Haya Aldossary
التنسيق:	Artigo
اللغة:	Inglês
منشور في:	IEEE 2025-01-01
سلاسل:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
الموضوعات:	Classification hyperspectral image classification (HSIC) squeeze and excitation (SE) Squeeze-SwinFormer Swin transformer (SwinT)
الوصول للمادة أونلاين:	https://ieeexplore.ieee.org/document/11108235/
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!