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Related papers: Image Processing Based Forest Fire Detection

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The explosive growth of spatial data and extensive utilization of spatial databases emphasize the necessity for the automated discovery of spatial knowledge. In modern times, spatial data mining has emerged as an area of voluminous…

Other Computer Science · Computer Science 2010-02-11 K. Angayarkkani , N. Radhakrishnan

Colour analysis is a crucial step in image-based fire detection algorithms. Many of the proposed fire detection algorithms in a still image are prone to false alarms caused by objects with a colour similar to fire. To design a colour-based…

Image and Video Processing · Electrical Eng. & Systems 2018-03-13 Oluwarotimi Giwa , Abdsamad Benkrid

There have been many recent developments in the use of Deep Learning Neural Networks for fire detection. In this paper, we explore an early warning system for detection of forest fires. Due to the lack of sizeable datasets and models tuned…

Computer Vision and Pattern Recognition · Computer Science 2025-11-26 Sharjeel Ahmed , Daim Armaghan , Fatima Naweed , Umair Yousaf , Ahmad Zubair , Murtaza Taj

Emergency events involving fire are potentially harmful, demanding a fast and precise decision making. The use of crowdsourcing image and videos on crisis management systems can aid in these situations by providing more information than…

Computer Vision and Pattern Recognition · Computer Science 2016-11-17 Daniel Y. T. Chino , Letricia P. S. Avalhais , Jose F. Rodrigues , Agma J. M. Traina

This paper proposes a vision-based fire and smoke segmentation system which use spatial, temporal and motion information to extract the desired regions from the video frames. The fusion of information is done using multiple features such as…

Computer Vision and Pattern Recognition · Computer Science 2019-10-01 Meenu Ajith , Manel Martínez-Ramón

This research paper addresses the challenge of detecting obscured wildfires (when the fire flames are covered by trees, smoke, clouds, and other natural barriers) in real-time using drones equipped only with RGB cameras. We propose a novel…

Computer Vision and Pattern Recognition · Computer Science 2023-07-04 Uma Meleti , Abolfazl Razi

This paper proposes a new machine learning based system for forest fire earlier detection in a low-cost and accurate manner. Accordingly, it is aimed to bring a new and definite perspective to visual detection in forest fires. A drone is…

Robotics · Computer Science 2021-01-26 Ayşegül Yanık , Mehmet Serdar Güzel , Mertkan Yanık , Erkan Bostancı

In many industrial processes, such as power generation, chemical production, and waste management, accurately monitoring industrial burner flame characteristics is crucial for safe and efficient operation. A key step involves separating the…

Computer Vision and Pattern Recognition · Computer Science 2023-06-27 Steven Landgraf , Markus Hillemann , Moritz Aberle , Valentin Jung , Markus Ulrich

Due to industry deployment and extension of urban areas, early warning systems have an essential role in giving emergency. Fire is an event that can rapidly spread and cause injury, death, and damage. Early detection of fire could…

Computer Vision and Pattern Recognition · Computer Science 2019-12-24 Maedeh Jamali , Nader Karimi , Shadrokh Samavi

Forest fires pose a significant threat to ecosystems, economies, and human health worldwide. Early detection and assessment of forest fires are crucial for effective management and conservation efforts. Unmanned Aerial Vehicles (UAVs)…

Computer Vision and Pattern Recognition · Computer Science 2025-11-07 Jinda Zhang

Detection and localization of fire in images and videos are important in tackling fire incidents. Although semantic segmentation methods can be used to indicate the location of pixels with fire in the images, their predictions are…

Computer Vision and Pattern Recognition · Computer Science 2021-11-08 Milad Niknejad , Alexandre Bernardino

Wildfires are one of the costliest and deadliest natural disasters in the US, causing damage to millions of hectares of forest resources and threatening the lives of people and animals. Of particular importance are risks to firefighters and…

Computer Vision and Pattern Recognition · Computer Science 2020-12-29 Alireza Shamsoshoara , Fatemeh Afghah , Abolfazl Razi , Liming Zheng , Peter Z Fulé , Erik Blasch

Fire is considered one of the most serious threats to human lives which results in a high probability of fatalities. Those severe consequences stem from the heavy smoke emitted from a fire that mostly restricts the visibility of escaping…

Computer Vision and Pattern Recognition · Computer Science 2023-07-11 Truong-Dong Do , Nghe-Nhan Truong , My-Ha Le

The existing methods for detection of the cloud scenes are applied at relatively small spectral range within shortwave upwelling radiative wavelength flux. We have reported a new method for detection of the cloud scenes based on the…

Atmospheric and Oceanic Physics · Physics 2022-10-10 Rehan Siddiqui , Rajinder K. Jagpal , Sanjar M. Abrarov , Brendan M. Quine

Fire patterns, consisting of fire effects that offer insights into fire behavior and origin, are traditionally classified based on investigators' visual observations, leading to subjective interpretations. This study proposes a framework…

Computer Vision and Pattern Recognition · Computer Science 2025-04-11 Pengkun Liu , Shuna Ni , Stanislav I. Stoliarov , Pingbo Tang

Wildfires are uncontrolled fires in the environment that can be caused by humans or nature. In 2020 alone, wildfires in California have burned 4.2 million acres, damaged 10,500 buildings or structures, and killed more than 31 people,…

Computer Vision and Pattern Recognition · Computer Science 2021-09-14 Samarth Shah

Wildfires are a disastrous phenomenon which cause damage to land, loss of property, air pollution, and even loss of human life. Due to the warmer and drier conditions created by climate change, more severe and uncontrollable wildfires are…

Computer Vision and Pattern Recognition · Computer Science 2022-11-04 Omkar Ranadive , Jisu Kim , Serin Lee , Youngseo Cha , Heechan Park , Minkook Cho , Young K. Hwang

Fire effects are widely used in various computer graphics applications such as visual effects and video games. Modeling the shape and appearance of fire phenomenon is challenging as the underlying effects are driven by complex laws of…

Computer Vision and Pattern Recognition · Computer Science 2026-05-14 Gara Dorta , Luca Benedetti , Dmitry Kit , Yong-Liang Yang

Printed Circuit Boards are the foundation for the functioning of any electronic device, and therefore are an essential component for various industries such as automobile, communication, computation, etc. However, one of the challenges…

Computer Vision and Pattern Recognition · Computer Science 2021-02-23 Tejas Khare , Vaibhav Bahel , Anuradha C. Phadke

Rapid and accurate wildfire detection is crucial for emergency response and environmental management. In airborne and spaceborne missions, real-time algorithms must distinguish between no fire, active fire, and post-fire conditions, and…

Computer Vision and Pattern Recognition · Computer Science 2025-12-04 Mark Moussa , Andre Williams , Seth Roffe , Douglas Morton
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