AI RESEARCH
A Synergistic CNN-Transformer Network with Pooling Attention Fusion for Hyperspectral Image Classification
arXiv CS.CV
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ArXi:2604.23622v1 Announce Type: new In the hyperspectral image (HSI) classification task, each pixel is categorized into a specific land-cover category or material. Convolutional neural networks (CNNs) and transformers have been widely used to extract local and non-local features in HSI classification. Recent works have utilized a multi-scale vision transformer (ViT) to enhance spectral feature capture and yield promising results.