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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Detalles Bibliográficos

Autores principales:	Zhe Meng, Qian Yan, Feng Zhao, Gaige Chen, Wenqiang Hua, Miaomiao Liang
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	IEEE 2025-01-01
Colección:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Materias:	CNN multigranularity transformer hyperspectral image (HSI) classification
Acceso en línea:	https://ieeexplore.ieee.org/document/10746388/
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