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[HTML][HTML] Advancements in forest fire prevention: A comprehensive survey
Nowadays, the challenges related to technological and environmental development are
becoming increasingly complex. Among the environmentally significant issues, wildfires …
becoming increasingly complex. Among the environmentally significant issues, wildfires …
Airborne optical and thermal remote sensing for wildfire detection and monitoring
For decades detection and monitoring of forest and other wildland fires has relied heavily on
aircraft (and satellites). Technical advances and improved affordability of both sensors and …
aircraft (and satellites). Technical advances and improved affordability of both sensors and …
Wildland forest fire smoke detection based on faster R-CNN using synthetic smoke images
In this paper, Faster R-CNN was used to detect wildland forest fire smoke to avoid the
complex manually feature extraction process in traditional video smoke detection methods …
complex manually feature extraction process in traditional video smoke detection methods …
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 …
Energy-efficient deep CNN for smoke detection in foggy IoT environment
Smoke detection in Internet of Things (IoT) environment is a primary component of early
disaster-related event detection in smart cities. Recently, several smoke and fire detection …
disaster-related event detection in smart cities. Recently, several smoke and fire detection …
Video fire detection–review
This is a review article describing the recent developments in Video based Fire Detection
(VFD). Video surveillance cameras and computer vision methods are widely used in many …
(VFD). Video surveillance cameras and computer vision methods are widely used in many …
Smoke detection on video sequences using 3D convolutional neural networks
Research on video smoke detection has become a hot topic in fire disaster prevention and
control as it can realize early detection. Conventional methods use handcrafted features rely …
control as it can realize early detection. Conventional methods use handcrafted features rely …
Edge intelligence-assisted smoke detection in foggy surveillance environments
Smoke detection in foggy surveillance environments is a challenging task and plays a key
role in disaster management for industrial systems. The current smoke detection methods …
role in disaster management for industrial systems. The current smoke detection methods …
[HTML][HTML] Early fire detection based on aerial 360-degree sensors, deep convolution neural networks and exploitation of fire dynamic textures
The environmental challenges the world faces have never been greater or more complex.
Global areas that are covered by forests and urban woodlands are threatened by large …
Global areas that are covered by forests and urban woodlands are threatened by large …
Fire and smoke detection without sensors: Image processing based approach
T Çelik, H Özkaramanlı… - 2007 15th European signal …, 2007 - ieeexplore.ieee.org
In this paper, novel models for fire and smoke detection using image processing is provided.
The models use different colour models for both fire and smoke. The colour models are …
The models use different colour models for both fire and smoke. The colour models are …