S2CaT: Spatial–Spectral-Based CNN and Transformer Network for Hyperspectral Image Classification

Recent advancements in the field of hyperspectral image (HSI) analysis have highlighted the potential of hybrid architectures that integrate convolutional neural networks (CNNs) with Transformer modules. These architectures are capable of effectively modeling global dependencies while preserving loc...

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Xehetasun bibliografikoak

Egile Nagusiak:	Guanliang Wan, Danqing Liu, Yunxin Liu, Tengyue Yang, Yanhui Guo
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	IEEE 2026-01-01
Saila:	IEEE Access
Gaiak:	Hyperspectral image (HSI) classification convolutional neural network (CNN) feature fusion Transformer
Sarrera elektronikoa:	https://ieeexplore.ieee.org/document/11359183/
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