FS-YOLOv2: A Dynamic Dual-Source YOLO Model for Robust Forest Smoke Detection

UAV-based dual-source forest smoke detection requires accurate early warning under dynamic backgrounds, adverse weather, and potential sensor degradation. Existing lightweight detectors are prone to false alarms caused by wind-blown vegetation and cloud drift, while rigid visible-light and infrared...

Celý popis

Podrobná bibliografie

Hlavní autoři:	Yalei Jia, Fansen Meng, Xufeng Yang, Jisong Zang, Minzheng Ma, Jianhui Meng
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2026-01-01
Edice:	IEEE Access
Témata:	Dual-source fusion forest smoke detection lightweight object detection uncertainty-aware fusion unmanned aerial vehicles YOLO
On-line přístup:	https://ieeexplore.ieee.org/document/11556924/
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!