IB-HFN introduces a dual-stream backbone with spatial information bottleneck fusion, local-global gating, and joint optimization to achieve superior structural and spectral fidelity in SAR-assisted optical cloud removal on the SEN12MS-CR dataset.
Cloud removal method for remote sensing images based on sar-guided conditional diffusion model and style adaptation,
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IB-HFN: Information Bottleneck-Driven SAR-Optical Fusion Network for High-Fidelity Cloud Removal
IB-HFN introduces a dual-stream backbone with spatial information bottleneck fusion, local-global gating, and joint optimization to achieve superior structural and spectral fidelity in SAR-assisted optical cloud removal on the SEN12MS-CR dataset.