Currently, sensor-based systems for fire detection are widely used worldwide. Further
research has shown that camera-based fire detection systems achieve much better results …

The increasing number of forest fires caused by human activity and dry weather has led to
the implementation of various detection strategies to prevent catastrophic disasters. The use …

Fire disasters are considered to be among the most harmful hazards, causing fatalities,
ecological and economic chaos, property damage, and they can even impact climate …

Forest fire detection is a challenging problem in computer vision. In this paper, we build a
challenging fire dataset which contains images of fire, smoke, and red leaf to better simulate …

Forest fire causes irreparable damage to human beings and ecological environment with the
big concealment and the difficulty to fight. However, conventional fire warning technologies …

Bushfires across remote areas can easily spread regionally due to extreme weather
conditions. Unmanned aerial vehicles (UAVs) can play a significant role in postdisaster …

This review aims to critically examine the existing state-of-the-art forest fire detection
systems that are based on deep learning methods. In general, forest fire incidences bring …

Forest fires pose a potential threat to the ecological and environmental systems and natural
resources, impacting human lives. However, automated surveillance system for early forest …

The safety of forest resources is of great im-portance to natural and public safety, and the
efficient and accurate detection of forest fires is an issue of close concern. Considering the …

This study presents a surveillance system developed for early detection of forest fires. Deep
learning is utilized for aerial detection of fires using images obtained from a camera …