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Adaptive Feature Self-Attention in Spiking Neural Networks for Hyperspectral Classification

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING(2025)

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Key words
Hyperspectral imaging,Accuracy,Feature extraction,Convolution,Computational modeling,Spiking neural networks,Training,Image classification,Energy consumption,Adaptation models,Convolutional neural networks (CNNs),hyperspectral image (HSI) classification,spike self-attention (SSA),spiking neural networks (SNNs)
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