CenterFormer: A Center Spatial–Spectral Attention Transformer Network for Hyperspectral Image Classification

Feature extraction is crucial for hyperspectral image classification (HSIC), and transformer-based methods have demonstrated significant potential in this field due to their exceptional global modeling capabilities. However, existing transformer-based methods use patches of fixed size and shape as i...

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Váldodahkkit:	Chenjing Jia, Xiaohua Zhang, Hongyun Meng, Shuxiang Xia, Licheng Jiao
Materiálatiipa:	Artigo
Giella:	Inglês
Almmustuhtton:	IEEE 2025-01-01
Ráidu:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Fáttát:	Center attention mechanism hyperspectral image classification (HSIC) multigranularity transformer
Liŋkkat:	https://ieeexplore.ieee.org/document/10841983/
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