SCC-Loc achieves 9.37 m mean localization error for UAV thermal images against satellite references, a 7.6-fold gain inside the 5 m threshold over prior methods, using a shared DINOv2 backbone plus three new semantic-consensus modules.
Drones and border control: An examination of state and non-state actor use of uavs along borders
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SCC-Loc: A Unified Semantic Cascade Consensus Framework for UAV Thermal Geo-Localization
SCC-Loc achieves 9.37 m mean localization error for UAV thermal images against satellite references, a 7.6-fold gain inside the 5 m threshold over prior methods, using a shared DINOv2 backbone plus three new semantic-consensus modules.