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Reflectance variability in UAV multispectral imagery can exceed 137% across viewing angles, challenging assumptions about radiometric consistency in remote sensing.
Pre-trained foundational models can guide the fusion of optical and SAR features to substantially improve multimodal change detection, achieving state-of-the-art results.
