A review on early forest fire detection systems using optical remote sensing
The environmental challenges the world faces nowadays have never been greater or more
complex. Global areas covered by forests and urban woodlands are threatened by natural …
complex. Global areas covered by forests and urban woodlands are threatened by natural …
A review of machine learning applications in wildfire science and management
Artificial intelligence has been applied in wildfire science and management since the 1990s,
with early applications including neural networks and expert systems. Since then, the field …
with early applications including neural networks and expert systems. Since then, the field …
Real-time video fire/smoke detection based on CNN in antifire surveillance systems
This work presents a real-time video-based fire and smoke detection using YOLOv2
Convolutional Neural Network (CNN) in antifire surveillance systems. YOLOv2 is designed …
Convolutional Neural Network (CNN) in antifire surveillance systems. YOLOv2 is designed …
An improved forest fire detection method based on the detectron2 model and a deep learning approach
With an increase in both global warming and the human population, forest fires have
become a major global concern. This can lead to climatic shifts and the greenhouse effect …
become a major global concern. This can lead to climatic shifts and the greenhouse effect …
A modified YOLOv5 architecture for efficient fire detection in smart cities
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 …
ecological and economic chaos, property damage, and they can even impact climate …
Fire detection in video surveillances using convolutional neural networks and wavelet transform
Fire is one of the most frequent and common emergencies threatening public safety and
social development. Recently, intelligent fire detection technologies represented by …
social development. Recently, intelligent fire detection technologies represented by …
Fire detection method in smart city environments using a deep-learning-based approach
In the construction of new smart cities, traditional fire-detection systems can be replaced with
vision-based systems to establish fire safety in society using emerging technologies, such as …
vision-based systems to establish fire safety in society using emerging technologies, such as …
Data-driven surrogate model with latent data assimilation: Application to wildfire forecasting
The large and catastrophic wildfires have been increasing across the globe in the recent
decade, highlighting the importance of simulating and forecasting fire dynamics in near real …
decade, highlighting the importance of simulating and forecasting fire dynamics in near real …
ATT squeeze U-Net: A lightweight network for forest fire detection and recognition
J Zhang, H Zhu, P Wang, X Ling - IEEE Access, 2021 - ieeexplore.ieee.org
Forest fire is becoming one of the most significant natural disasters at the expense of
ecology and economy. In this article, we develop an effective SqueezeNet based …
ecology and economy. In this article, we develop an effective SqueezeNet based …
Deep learning approaches for wildland fires remote sensing: Classification, detection, and segmentation
The world has seen an increase in the number of wildland fires in recent years due to
various factors. Experts warn that the number of wildland fires will continue to increase in the …
various factors. Experts warn that the number of wildland fires will continue to increase in the …