[HTML][HTML] Deep Learning Approaches for Wildland Fires Remote Sensing: Classification, Detection, and Segmentation
R Ghali, MA Akhloufi - Remote Sensing, 2023 - mdpi.com
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 …
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] Ffirenet: Deep learning based forest fire classification and detection in smart cities
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 …
fire has been a serious issue due to natural and man-made climate effects. For early forest …
Detection of forest fire using deep convolutional neural networks with transfer learning approach
Forest fires caused by natural causes such as climate change, temperature increase,
lightning strikes, volcanic activity or human effects are among the world's most dangerous …
lightning strikes, volcanic activity or human effects are among the world's most dangerous …
[HTML][HTML] Wildfire and smoke detection using staged YOLO model and ensemble CNN
One of the most expensive and fatal natural disasters in the world is forest fires. For this
reason, early discovery of forest fires helps minimize mortality and harm to ecosystems and …
reason, early discovery of forest fires helps minimize mortality and harm to ecosystems and …
Transfer learning in environmental remote sensing
Abstract Machine learning (ML) has proven to be a powerful tool for utilizing the rapidly
increasing amounts of remote sensing data for environmental monitoring. Yet ML models …
increasing amounts of remote sensing data for environmental monitoring. Yet ML models …
[HTML][HTML] Forest fire smoke detection based on deep learning approaches and unmanned aerial vehicle images
SY Kim, A Muminov - Sensors, 2023 - mdpi.com
Wildfire poses a significant threat and is considered a severe natural disaster, which
endangers forest resources, wildlife, and human livelihoods. In recent times, there has been …
endangers forest resources, wildlife, and human livelihoods. In recent times, there has been …
[HTML][HTML] Particle swarm-based federated learning approach for early detection of forest fires
Y Supriya, TR Gadekallu - Sustainability, 2023 - mdpi.com
Forests are a vital part of the ecological system. Forest fires are a serious issue that may
cause significant loss of life and infrastructure. Forest fires may occur due to human or man …
cause significant loss of life and infrastructure. Forest fires may occur due to human or man …
TeutongNet: A Fine-Tuned Deep Learning Model for Improved Forest Fire Detection
Forest fires have emerged as a significant threat to the environment, wildlife, and human
lives, necessitating the development of effective early detection systems for firefighting and …
lives, necessitating the development of effective early detection systems for firefighting and …
AI applications in forest monitoring need remote sensing benchmark datasets
With the rise in high resolution remote sensing technologies there has been an explosion in
the amount of data available for forest monitoring, and an accompanying growth in artificial …
the amount of data available for forest monitoring, and an accompanying growth in artificial …