A review on early wildfire detection from unmanned aerial vehicles using deep learning-based computer vision algorithms

A Bouguettaya, H Zarzour, AM Taberkit, A Kechida - Signal Processing, 2022 - Elsevier
Wildfire is one of the most critical natural disasters that threaten wildlands and forest
resources. Traditional firefighting systems, which are based on ground crew inspection …

Autonomous unmanned aerial vehicles in bushfire management: Challenges and opportunities

S Partheepan, F Sanati, J Hassan - Drones, 2023 - mdpi.com
The intensity and frequency of bushfires have increased significantly, destroying property
and living species in recent years. Presently, unmanned aerial vehicle (UAV) technology …

A survey on technologies for automatic forest fire monitoring, detection, and fighting using unmanned aerial vehicles and remote sensing techniques

C Yuan, Y Zhang, Z Liu - Canadian journal of forest research, 2015 - cdnsciencepub.com
Because of their rapid maneuverability, extended operational range, and improved
personnel safety, unmanned aerial vehicles (UAVs) with vision-based systems have great …

[HTML][HTML] Fast forest fire smoke detection using MVMNet

Y Hu, J Zhan, G Zhou, A Chen, W Cai, K Guo… - Knowledge-Based …, 2022 - Elsevier
Forest fires are a huge ecological hazard, and smoke is an early characteristic of forest fires.
Smoke is present only in a tiny region in images that are captured in the early stages of …

UAV-based forest fire detection and tracking using image processing techniques

C Yuan, Z Liu, Y Zhang - 2015 International Conference on …, 2015 - ieeexplore.ieee.org
In this paper, an unmanned aerial vehicle (UAV) based forest fire detection and tracking
method is proposed. Firstly, a brief illustration of UAV-based forest fire detection and tracking …

A distributed control framework of multiple unmanned aerial vehicles for dynamic wildfire tracking

HX Pham, HM La, D Feil-Seifer… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Wild-land fire fighting is a hazardous job. A key task for firefighters is to observe the “fire
front” to chart the progress of the fire and areas that will likely spread next. Lack of …

Experimentally defined convolutional neural network architecture variants for non-temporal real-time fire detection

AJ Dunnings, TP Breckon - 2018 25th IEEE international …, 2018 - ieeexplore.ieee.org
In this work we investigate the automatic detection of fire pixel regions in video (or still)
imagery within real-time bounds without reliance on temporal scene information. As an …