Aerial imagery pile burn detection using deep learning: The FLAME dataset

A Shamsoshoara, F Afghah, A Razi, L Zheng, PZ Fulé… - Computer Networks, 2021 - Elsevier
Wildfires are one of the costliest and deadliest natural disasters in the US, causing damage
to millions of hectares of forest resources and threatening the lives of people and animals. Of …

Preliminary results from a wildfire detection system using deep learning on remote camera images

K Govil, ML Welch, JT Ball, CR Pennypacker - Remote Sensing, 2020 - mdpi.com
Pioneering networks of cameras that can search for wildland fire signatures have been in
development for some years (High Performance Wireless Research & Education Network …

Forest fire and smoke detection using deep learning-based learning without forgetting

VE Sathishkumar, J Cho, M Subramanian, OS Naren - Fire ecology, 2023 - Springer
Background Forests are an essential natural resource to humankind, providing a myriad of
direct and indirect benefits. Natural disasters like forest fires have a major impact on global …

[PDF][PDF] Review on forest fires detection and prediction using deep learning and drones

M Yandouzi, M Grari, I Idrissi, O Moussaoui… - J. Theor. Appl. Inf …, 2022 - researchgate.net
Forests everywhere in the world are essential components for protecting the biosphere.
They strongly contribute to the global carbon cycle and sustain a wide variety of plant and …

Computer vision for wildfire research: An evolving image dataset for processing and analysis

T Toulouse, L Rossi, A Campana, T Celik, MA Akhloufi - Fire Safety Journal, 2017 - Elsevier
The last decade has witnessed the use of computer vision for wildfire detection and
measurement. The first and most important step for computer vision analysis is the fire pixel …

DeepFire: A novel dataset and deep transfer learning benchmark for forest fire detection

A Khan, B Hassan, S Khan, R Ahmed… - Mobile Information …, 2022 - Wiley Online Library
Forest fires pose a potential threat to the ecological and environmental systems and natural
resources, impacting human lives. However, automated surveillance system for early forest …

Fire‐Net: A Deep Learning Framework for Active Forest Fire Detection

ST Seydi, V Saeidi, B Kalantar, N Ueda… - Journal of …, 2022 - Wiley Online Library
Forest conservation is crucial for the maintenance of a healthy and thriving ecosystem. The
field of remote sensing (RS) has been integral with the wide adoption of computer vision and …

FIgLib & SmokeyNet: Dataset and deep learning model for real-time wildland fire smoke detection

A Dewangan, Y Pande, HW Braun, F Vernon, I Perez… - Remote Sensing, 2022 - mdpi.com
The size and frequency of wildland fires in the western United States have dramatically
increased in recent years. On high-fire-risk days, a small fire ignition can rapidly grow and …

Deep learning and transformer approaches for UAV-based wildfire detection and segmentation

R Ghali, MA Akhloufi, WS Mseddi - Sensors, 2022 - mdpi.com
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 …

Attention based CNN model for fire detection and localization in real-world images

S Majid, F Alenezi, S Masood, M Ahmad… - Expert Systems with …, 2022 - Elsevier
Fire is a severe natural calamity that causes significant harm to human lives and the
environment. Recent works have proposed the use of computer vision for developing a cost …