Jan, 2024
Fus-MAE:一种基于交叉注意力的遥感掩码自编码器数据融合方法
Fus-MAE: A cross-attention-based data fusion approach for Masked Autoencoders in remote sensing
Hugo Chan-To-Hing, Bharadwaj Veeravalli
TL;DRFus-MAE is a self-supervised learning framework based on masked autoencoders that performs data fusion between synthetic aperture radar and multispectral optical data, effectively competing with contrastive learning strategies in SAR-optical data fusion.