Can a distilled student match its frozen teachers on radar? Part four of a SAR transfer series. A C-RADIO-style ViT-B student learns from SigLIP2, satellite DINOv3, PE-Spatial and TerraFM-B reading Sentinel-1, scored with frozen features on glacial lakes, snow, forest types and alpine glaciers.
forest pytorch remote-sensing transfer-learning sar semantic-segmentation knowledge-distillation earth-observation synthetic-aperture-radar sentinel-1 snow-cover glaciers foundation-models glacial-lakes siglip2 dinov3 perception-encoder frozen-encoder c-radio terrafm
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Updated
Oct 5, 2026 - Python