The fusion of spectral–spatial features based on deep learning has become the focus research in hyperspectral image (HSI) classification. However, previous frameworks usually performed feature aggregation only at branch ends. Furthermore, first-order statistical are considered process, which is not conducive to improving discrimination features. This article proposes a global–local hierarchical...