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Deep learning approaches for wildland fires remote sensing: Classification, detection, and segmentation
The world has seen an increase in the number of wildland fires in recent years due to
various factors. Experts warn that the number of wildland fires will continue to increase in the …
various factors. Experts warn that the number of wildland fires will continue to increase in the …
[HTML][HTML] Fire and smoke detection from videos: A literature review under a novel taxonomy
The recent development of deep learning based fire detection techniques and the
availability of smart cameras able to execute these algorithms on the edge paved the way for …
availability of smart cameras able to execute these algorithms on the edge paved the way for …
A wildfire smoke detection system using unmanned aerial vehicle images based on the optimized YOLOv5
Wildfire is one of the most significant dangers and the most serious natural catastrophe,
endangering forest resources, animal life, and the human economy. Recent years have …
endangering forest resources, animal life, and the human economy. Recent years have …
A label-relevance multi-direction interaction network with enhanced deformable convolution for forest smoke recognition
H Tao - Expert Systems with Applications, 2024 - Elsevier
Forest fires pose a significant threat to both the economy and ecology, causing extensive
damage. Smoke serves as a crucial indicator of forest fires, often appearing before the …
damage. Smoke serves as a crucial indicator of forest fires, often appearing before the …
An effective attention-based CNN model for fire detection in adverse weather conditions
Worldwide, fire disasters cause social, economic, and environmental damage, so their early
detection and instant response is crucial for saving lives and property, which is possible via …
detection and instant response is crucial for saving lives and property, which is possible via …
Early wildfire smoke detection using different yolo models
Forest fires are a serious ecological concern, and smoke is an early warning indicator. Early
smoke images barely capture a tiny portion of the total smoke. Because of the irregular …
smoke images barely capture a tiny portion of the total smoke. Because of the irregular …
[HTML][HTML] Video fire detection methods based on deep learning: datasets, methods, and future directions
C **, T Wang, N Alhusaini, S Zhao, H Liu, K Xu… - Fire, 2023 - mdpi.com
Among various calamities, conflagrations stand out as one of the most-prevalent and-
menacing adversities, posing significant perils to public safety and societal progress …
menacing adversities, posing significant perils to public safety and societal progress …
Visual fire detection using deep learning: A survey
G Cheng, X Chen, C Wang, X Li, B **an, H Yu - Neurocomputing, 2024 - Elsevier
Abstract Visual Fire Detection (VFD), through the rapid and accurate identification of smoke
and flame in images and videos, is crucial for early fire warning and reducing fire hazards. In …
and flame in images and videos, is crucial for early fire warning and reducing fire hazards. In …
Video anomaly detection: A systematic review of issues and prospects
The increase in the deployment of surveillance camera in outdoor and indoor settings have
resulted in a growing demand for intelligent systems that can accurately detect and …
resulted in a growing demand for intelligent systems that can accurately detect and …
Learning precise feature via self-attention and self-cooperation YOLOX for smoke detection
J Wang, X Zhang, K **g, C Zhang - Expert Systems with Applications, 2023 - Elsevier
Smoke detection is a key process for fire warning systems. However, the existing smoke
detection methods are insufficient to extract precise smoke features due to the smoke's …
detection methods are insufficient to extract precise smoke features due to the smoke's …