Enhancing Hyperspectral Image Classification With Spectral–Spatial Convolutional FourierKAN Transformer

The dominance of transformer architectures in hyperspectral image (HSI) classification, driven by their self-attention mechanisms and multilayer perceptron (MLP), faces critical challenges in mathematical interpretability and spectral redundancy sensitivity. To address these limitations, we propose...

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Autori principali:	Zixuan Xue, Zhijing Ye, Boyu Wang, Yuqing Zhang, Chengyong Zheng, Jiangtao Peng
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	IEEE 2026-01-01
Serie:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Soggetti:	Hyperspectral image (HSI) classification Kolmogorov–Arnold network (KAN) multilayer perceptron (MLP) transformer
Accesso online:	https://ieeexplore.ieee.org/document/11319177/
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