A comprehensive survey of research towards AI-enabled unmanned aerial systems in pre-, active-, and post-wildfire management

SPH Boroujeni, A Razi, S Khoshdel, F Afghah… - Information …, 2024 - Elsevier
Wildfires have emerged as one of the most destructive natural disasters worldwide, causing
catastrophic losses. These losses have underscored the urgent need to improve public …

[HTML][HTML] Review of Modern Forest Fire Detection Techniques: Innovations in Image Processing and Deep Learning

B Özel, MS Alam, MU Khan - Information, 2024 - mdpi.com
Fire detection and extinguishing systems are critical for safeguarding lives and minimizing
property damage. These systems are especially vital in combating forest fires. In recent …

Firexplainnet: optimizing convolution block architecture for enhanced wildfire detection and interpretability

MA Khan, H Park - Electronics, 2024 - mdpi.com
The early detection of wildfires is a crucial challenge in environmental monitoring, pivotal for
effective disaster management and ecological conservation. Traditional detection methods …

[HTML][HTML] Tiny-Object Detection Based on Optimized YOLO-CSQ for Accurate Drone Detection in Wildfire Scenarios

T Luan, S Zhou, L Liu, W Pan - Drones, 2024 - mdpi.com
Wildfires, which are distinguished by their destructive nature and challenging suppression,
present a significant threat to ecological environments and socioeconomic systems. In order …

[HTML][HTML] SWIFT: Simulated Wildfire Images for Fast Training Dataset

L Fernando, R Ghali, MA Akhloufi - Remote Sensing, 2024 - mdpi.com
Wildland fires cause economic and ecological damage with devastating consequences,
including loss of life. To reduce these risks, numerous fire detection and recognition systems …

[HTML][HTML] Deep Learning Approach for Wildland Fire Recognition Using RGB and Thermal Infrared Aerial Image

R Ghali, MA Akhloufi - Fire, 2024 - mdpi.com
Wildfires cause severe consequences, including property loss, threats to human life,
damage to natural resources, biodiversity, and economic impacts. Consequently, numerous …

Leveraging Drone-Assisted Surveillance for Effective Forest Conservation: A Case Study in Australia's Daintree Rainforest

LKB Melhim, M Jemmali, W Boulila… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
Nowadays, there is global consensus on the threats to forests and their crucial role in
mitigating global warming and its impact on Earth's biodiversity. Both private and public …

FireSeg: A weakly supervised fire segmentation framework via pre-trained latent diffusion models

W Zhang, H Zheng, W Li, S Pan, Y Liu - Expert Systems with Applications, 2025 - Elsevier
Accurate fire segmentation is crucial for emergency fire response. However, despite
structural advancements in deep learning-based fire segmentation frameworks, their heavy …

Ultra-lightweight convolution-transformer network for early fire smoke detection

S Chaturvedi, C Shubham Arun, P Singh Thakur… - Fire Ecology, 2024 - Springer
Background Forests are invaluable resources, and fire is a natural process that is
considered an integral part of the forest ecosystem. Although fire offers several ecological …

[HTML][HTML] Efficient Fire Detection with E-EFNet: A Lightweight Deep Learning-Based Approach for Edge Devices

H Farman, MM Nasralla, SBA Khattak, B Jan - Applied Sciences, 2023 - mdpi.com
Fire detection employing vision sensors has drawn significant attention within the computer
vision community, primarily due to its practicality and utility. Previous research …