Spectral-Spatial Convolutional Hybrid Transformer for Hyperspectral Image Classification

The combination of Convolutional neural networks (CNNs) and Transformers has achieved excellent performance in hyperspectral image classification due to the characteristics of local features extraction and long-range dependencies capture. However, how to integrate the spectral and spatial features e...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Haixin Sun, Jingwen Xu, Fanlei Meng, Mengdi Cheng, Qiuguang Cao
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	IEEE 2025-01-01
Sarja:	IEEE Access
Aiheet:	Gated feed forward network hybrid convolutional transposed attention hyperspectral image classification spectral-spatial convolution
Linkit:	https://ieeexplore.ieee.org/document/10945322/
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