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 …

Ffirenet: Deep learning based forest fire classification and detection in smart cities

S Khan, A Khan - Symmetry, 2022 - mdpi.com
Forests are a vital natural resource that directly influences the ecosystem. Recently, forest
fire has been a serious issue due to natural and man-made climate effects. For early forest …

A gated recurrent network with dual classification assistance for smoke semantic segmentation

F Yuan, L Zhang, X Xia, Q Huang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Smoke has semi-transparency property leading to highly complicated mixture of background
and smoke. Sparse or small smoke is visually inconspicuous, and its boundary is often …

[HTML][HTML] Forest fire spreading and carbon concentration identification in tropical region Indonesia

EA Kadir, SL Rosa, A Syukur, M Othman… - Alexandria Engineering …, 2022 - Elsevier
Global warming impacted the rise of temperature globally, some of the places a high risk of
fire such as land and forest fire. Many efforts to prevent the occurrence of land and forest fire …

A lightweight network for smoke semantic segmentation

F Yuan, K Li, C Wang, Z Fang - Pattern Recognition, 2023 - Elsevier
To obtain real-time performance on computation limited devices, we propose a lightweight
network for smoke segmentation. To enhance the ability of feature encoding, we first …

A newton interpolation network for smoke semantic segmentation

F Yuan, G Wang, Q Huang, X Li - Pattern Recognition, 2025 - Elsevier
Smoke has large variances of visual appearances that are very adverse to visual
segmentation. Furthermore, its semi-transparency often produces highly complicated …

Deep learning based forest fire classification and detection in satellite images

K Vani - 2019 11th international conference on advanced …, 2019 - ieeexplore.ieee.org
Forest fires are an important threat to humans and other living creatures, with the
development of satellite technology it can be constantly monitored and controlled. Presence …

Deep Learning‐Based Wildfire Image Detection and Classification Systems for Controlling Biomass

M Prakash, S Neelakandan… - … Journal of Intelligent …, 2023 - Wiley Online Library
Forests are essential natural resources that directly impact the ecosystem. However, the
rising frequency of forest fires due to natural and artificial climate change has become a …

Dependable fire detection system with multifunctional artificial intelligence framework

JH Park, S Lee, S Yun, H Kim, WT Kim - Sensors, 2019 - mdpi.com
A fire detection system requires accurate and fast mechanisms to make the right decision in
a fire situation. Since most commercial fire detection systems use a simple sensor, their fire …

Smoke semantic segmentation with multi-scale residual paths and weighted middle surveillances

F Yuan, L Zhang, X Xia - Multimedia Tools and Applications, 2024 - Springer
Visual smoke segmentation is widely used for fire detection, simulation, human evacuation
and pollution monitoring. However, it is challenging to accurately separate smoke from a …