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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 …
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 …
LEF-YOLO: a lightweight method for intelligent detection of four extreme wildfires based on the YOLO framework
J Li, H Tang, X Li, H Dou, R Li - International journal of wildland …, 2023 - CSIRO Publishing
Background Extreme wildfires pose a serious threat to forest vegetation and human life
because they spread more rapidly and are more intense than conventional wildfires …
because they spread more rapidly and are more intense than conventional wildfires …
Ic-gan: An improved conditional generative adversarial network for rgb-to-ir image translation with applications to forest fire monitoring
This paper introduces a novel Deep Learning (DL) architecture for inferring temperature
information from aerial true-color RGB images by transforming them into Infrared Radiation …
information from aerial true-color RGB images by transforming them into Infrared Radiation …
A hybrid LBP-CNN with YOLO-v5-based fire and smoke detection model in various environmental conditions for environmental sustainability in smart city
Smart, secure, and environmentally friendly smart cities are all the rage in urban planning.
Several technologies, including the Internet of Things (IoT) and edge computing, are used to …
Several technologies, including the Internet of Things (IoT) and edge computing, are used to …
Computer vision for wildfire detection: a critical brief review
In this critical brief review, we explore the pivotal role of computer vision in wildfire detection,
following the PRISMA methodology and focusing on 35 key studies published between …
following the PRISMA methodology and focusing on 35 key studies published between …
[HTML][HTML] Early smoke and flame detection based on transformer
Fire-detection technology plays a critical role in ensuring public safety and facilitating the
development of smart cities. Early fire detection is imperative to mitigate potential hazards …
development of smart cities. Early fire detection is imperative to mitigate potential hazards …
Identifying Characteristic Fire Properties with Stationary and Non-Stationary Fire Alarm Systems
The article reviews issues associated with the operation of stationary and non-stationary
electronic fire alarm systems (FASs). These systems are employed for the fire protection of …
electronic fire alarm systems (FASs). These systems are employed for the fire protection of …
[HTML][HTML] Fire Detection with Deep Learning: A Comprehensive Review
Wildfires are a critical driver of landscape transformation on Earth, representing a dynamic
and ephemeral process that poses challenges for accurate early detection. To address this …
and ephemeral process that poses challenges for accurate early detection. To address this …
Exploring unmanned aerial systems operations in wildfire management: Data types, processing algorithms and navigation
Wildfire, also known as forest fire, is a common natural or man-made disaster that has
caused devastation to both man-made structures and natural ecosystems throughout the …
caused devastation to both man-made structures and natural ecosystems throughout the …