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 …
Background subtraction in real applications: Challenges, current models and future directions
Computer vision applications based on videos often require the detection of moving objects
in their first step. Background subtraction is then applied in order to separate the background …
in their first step. Background subtraction is then applied in order to separate the background …
A forest fire detection system based on ensemble learning
Due to the various shapes, textures, and colors of fires, forest fire detection is a challenging
task. The traditional image processing method relies heavily on manmade features, which is …
task. The traditional image processing method relies heavily on manmade features, which is …
Deep learning and transformer approaches for UAV-based wildfire detection and segmentation
Wildfires are a worldwide natural disaster causing important economic damages and loss of
lives. Experts predict that wildfires will increase in the coming years mainly due to climate …
lives. Experts predict that wildfires will increase in the coming years mainly due to climate …
Convolutional neural networks based fire detection in surveillance videos
The recent advances in embedded processing have enabled the vision based systems to
detect fire during surveillance using convolutional neural networks (CNNs). However, such …
detect fire during surveillance using convolutional neural networks (CNNs). However, such …
Efficient deep CNN-based fire detection and localization in video surveillance applications
K Muhammad, J Ahmad, Z Lv… - … on Systems, Man …, 2018 - ieeexplore.ieee.org
Convolutional neural networks (CNNs) have yielded state-of-the-art performance in image
classification and other computer vision tasks. Their application in fire detection systems will …
classification and other computer vision tasks. Their application in fire detection systems will …
Early fire detection using convolutional neural networks during surveillance for effective disaster management
Fire disasters are man-made disasters, which cause ecological, social, and economic
damage. To minimize these losses, early detection of fire and an autonomous response are …
damage. To minimize these losses, early detection of fire and an autonomous response are …
An integrated fire detection system using IoT and image processing technique for smart cities
A Sharma, PK Singh, Y Kumar - Sustainable Cities and Society, 2020 - Elsevier
In the current scenario, the concept of Smart Cities is one of the emerging and challenging
research areas. The cities are surrounded by forests, agricultural land, or open areas, where …
research areas. The cities are surrounded by forests, agricultural land, or open areas, where …
Efficient fire detection for uncertain surveillance environment
Tactile Internet can combine multiple technologies by enabling intelligence via mobile edge
computing and data transmission over a 5G network. Recently, several convolutional neural …
computing and data transmission over a 5G network. Recently, several convolutional neural …
A survey on technologies for automatic forest fire monitoring, detection, and fighting using unmanned aerial vehicles and remote sensing techniques
Because of their rapid maneuverability, extended operational range, and improved
personnel safety, unmanned aerial vehicles (UAVs) with vision-based systems have great …
personnel safety, unmanned aerial vehicles (UAVs) with vision-based systems have great …