Jin-Rong Chen

WF-Mamba: Weighted Fourier State-Space Models With Adaptive Spatial-Frequency Synergy for Hyperspectral Unmixing

Hyperspectral unmixing (HU) is a crucial technique that aims to estimate subpixel-level ground object information in remote sensing images. Existing deep learning-based unmixing methods, especially autoencoders (AEs), typically operate only within the original spatial–spectral feature domain. However, due to the impact...