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...

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Bibliografiske detaljer

Principais autores:	Yalei Jia, Fansen Meng, Xufeng Yang, Jisong Zang, Minzheng Ma, Jianhui Meng
Format:	Artigo
Sprog:	Inglês
Udgivet:	IEEE 2026-01-01
Serier:	IEEE Access
Fag:	Dual-source fusion forest smoke detection lightweight object detection uncertainty-aware fusion unmanned aerial vehicles YOLO
Online adgang:	https://ieeexplore.ieee.org/document/11556924/
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