Main–Sub Transformer With Spectral–Spatial Separable Convolution for Hyperspectral Image Classification

Due to their spatial and spectral information, hyperspectral images are frequently used in various scientific and industrial fields. Recent developments in hyperspectral image classification have revolved around the use of convolutional neural networks and transformers, which are capable of modeling...

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Autors principals:	Jingpeng Gao, Xiangyu Ji, Geng Chen, Ruitong Guo
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2024-01-01
Col·lecció:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Matèries:	Convolution neural networks (CNNs) hyperspectral image (HSI) classification main–sub transformer encoder (MST) spectral–spatial separable convolution (SSSC)
Accés en línia:	https://ieeexplore.ieee.org/document/10360233/
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