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A comprehensive survey of research towards AI-enabled unmanned aerial systems in pre-, active-, and post-wildfire management
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 …
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
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 …
property damage. These systems are especially vital in combating forest fires. In recent …
Firexplainnet: optimizing convolution block architecture for enhanced wildfire detection and interpretability
The early detection of wildfires is a crucial challenge in environmental monitoring, pivotal for
effective disaster management and ecological conservation. Traditional detection methods …
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 …
present a significant threat to ecological environments and socioeconomic systems. In order …
[HTML][HTML] SWIFT: Simulated Wildfire Images for Fast Training Dataset
Wildland fires cause economic and ecological damage with devastating consequences,
including loss of life. To reduce these risks, numerous fire detection and recognition systems …
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
Wildfires cause severe consequences, including property loss, threats to human life,
damage to natural resources, biodiversity, and economic impacts. Consequently, numerous …
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
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 …
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 …
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 …
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
Fire detection employing vision sensors has drawn significant attention within the computer
vision community, primarily due to its practicality and utility. Previous research …
vision community, primarily due to its practicality and utility. Previous research …