To tackle the problem of missed detections in long-range detection scenarios caused by the
small size of forest fire targets, initiatives have been undertaken to enhance the feature …

Forest is an important resource for human survival, and forest fires are a serious threat to
forest protection. Therefore, the early detection of fire and smoke is particularly important …

Forest fires are highly unpredictable and extremely destructive. Traditional methods of
manual inspection, sensor-based detection, satellite remote sensing and computer vision …

Deep learning-based forest fire vision monitoring methods have developed rapidly and are
becoming mainstream. The existing methods, however, are based on enormous amounts of …

Given the limited computing capabilities of UAV terminal equipment, there is a challenge in
balancing the accuracy and computational cost when deploying the target detection model …

Forest fires have emerged as a significant global concern, exacerbated by both global
warming and the expanding human population. Several adverse outcomes can result from …

Early fire detection is quite important to fighting of forest fire. A lightweight YOLO forest fire
detection model is proposed in this study. First, the YOLOv4 object detection model is …

Forest fires are destructive and rapidly spreading, causing great harm to forest ecosystems
and humans. Deep learning techniques can adaptively learn and extract features of forest …

The frequent occurrence of forest fires causes irreparable damage to the environment and
the economy. Therefore, the accurate detection of forest fires is particularly important. Due to …

Intense, large-scale forest fires are damaging and very challenging to control. Locations,
where various types of fire behavior occur, vary depending on environmental factors …