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cs.CV2026★ 2 cited
MixerSENet: A Lightweight Framework for Efficient Hyperspectral Image Classification
Mohammed Q. Alkhatib, Swalpa Kumar Roy, Ali Jamali
In this paper, a novel framework, MixerSENet, is introduced for hyperspectral image (HSI) classification, designed to address the challenges of computational efficiency and limited…
cs.CV2024★ 3 cited
How to Learn More? Exploring Kolmogorov-Arnold Networks for Hyperspectral Image Classification
Ali Jamali, Swalpa Kumar Roy, Danfeng Hong +2
Convolutional Neural Networks (CNNs) and vision transformers (ViTs) have shown excellent capability in complex hyperspectral image (HSI) classification. However, these models requi…