Global–Local Multigranularity Transformer for Hyperspectral Image Classification

Hyperspectral image (HSI) classification is a challenging task in remote sensing applications, aiming to determine the category of each pixel by utilizing rich spectral and spatial information in HSI. Convolutional neural networks (CNNs) have been effective in processing HSI data by extracting local...

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Autors principals:	Zhe Meng, Qian Yan, Feng Zhao, Gaige Chen, Wenqiang Hua, Miaomiao Liang
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2025-01-01
Col·lecció:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Matèries:	CNN multigranularity transformer hyperspectral image (HSI) classification
Accés en línia:	https://ieeexplore.ieee.org/document/10746388/
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