Yuhan Shen

FDM-Net: A Multi-Level Feature Aggregation Network Based on Frequency-Decomposition for Hyperspectral Image Classification

Recently, integrating convolutional neural networks (CNNs) with Mamba has shown notable advantages in hyperspectral image classification. However, existing Mamba–CNN hybrid frameworks typically adopt a parallel-branch architecture where identical spectral–spatial information is fed into both branches, failing to rectif...