Deep Spectral-Spatial Ensemble Learning for Imbalanced Small-Sample Hyperspectral Image Classification
Hyperspectral image (HSI) classification under imbalanced and small-sample conditions is often hindered by the neglect of spatial contextual dependencies and the high-dimensional spectral redundancy. Moreover, conventional deep learning methods are prone to majority-class bias under imbalanced data distributions, which...