Adaptive Feature Self-Attention in Spiking Neural Networks for Hyperspectral Classification
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING(2025)
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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