Hybrid-domain feature fusion network with neural ordinary differential equations and multiview perception for hyperspectral image classification
Experimental results on three public HSI datasets with limited training samples demonstrate that the proposed HFFN consistently outperforms state-of-the-art methods in terms of classification accuracy and robustness, particularly for complex land-cover distributions with subtle spectral differences.