FusionAttNet: Hierarchical Attention-Driven Sentinel- 1/Sentinel-2 Fusion for Semi-Arid Land Cover Classification in Far North Cameroon

FusionAttNet: Hierarchical Attention-Driven Sentinel- 1/Sentinel-2 Fusion for Semi-Arid Land Cover Classification in Far North Cameroon

Accurate land cover mapping in semi-arid regions remains challenging due to spectral homogeneity of sparse vegetation, seasonal variability, and persistent cloud cover. In this study, we propose a FusionAttNet, a novel deep learning framework integrating Sentinel-1 SAR and Sentinel-2 optical d...