The BDGF framework balances diffusion features to guide multi-branch networks with mutual learning and achieves superior land-cover classification performance on four multimodal remote sensing datasets.
Ss-mae: Spatial–spectral masked autoencoder for multisource remote sensing image classifica- tion,
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Balanced Diffusion-Guided Fusion for Multimodal Remote Sensing Classification
The BDGF framework balances diffusion features to guide multi-branch networks with mutual learning and achieves superior land-cover classification performance on four multimodal remote sensing datasets.