Multi-source remote sensing data fusion based on attention-enhanced deep learning for intelligent land cover classification
The rapid growth of multi-source Earth observation data has introduced significant challenges for land cover classification. These challenges arise from two factors: cross-modal distribution gaps and spatial misalignment between optical imagery and synthetic aperture radar (SAR) data. This paper proposes AE-Net, an Att...