SCC-Loc claims SOTA UAV thermal geo-localization (9.37 m mean error, 7.6× better at 5 m) via a shared-DINOv2 semantic cascade consensus pipeline and a new Thermal-UAV dataset.
Long-range uav thermal geo-localization with satellite imagery
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SCC-Loc: A Unified Semantic Cascade Consensus Framework for UAV Thermal Geo-Localization
SCC-Loc claims SOTA UAV thermal geo-localization (9.37 m mean error, 7.6× better at 5 m) via a shared-DINOv2 semantic cascade consensus pipeline and a new Thermal-UAV dataset.