A two-stage UAV framework prunes redundant wildfire video clips via a policy network with station point mechanism and detects fire sources in real time using an improved YOLOv8 model.
Streamlin- ing forest wildfire surveillance: Ai-enhanced uavs utilizing the flame aerial video dataset for lightweight and efficient monitoring,
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Two-Stage Framework for Efficient UAV-Based Wildfire Video Analysis with Adaptive Compression and Fire Source Detection
A two-stage UAV framework prunes redundant wildfire video clips via a policy network with station point mechanism and detects fire sources in real time using an improved YOLOv8 model.