Image-based Fire Detection
Image-Based Fire Detection is a computational method that identifies the presence of fire in a scene by analyzing visual data from images or video streams, distinguishing itself from other fire detection approaches through its reliance on spatial and temporal visual features extracted from pixel-level information.
712
Publications
41.1K
Citations
2.2K
Authors
769
Institutions
Publications per year
2017–2026
422
Parents
712
An active-fire based burned area mapping algorithm for the MODIS sensor
Louis Giglio, Tatiana Loboda, David P. Roy et al. · Remote Sensing of Environment · 2008 · 687 citations
An early fire-detection method based on image processing
Thou-Ho Chen, Ping-Hsueh Wu, Yung-Chuen Chiou · 2005 · 642 citations
A Forest Fire Detection System Based on Ensemble Learning
Renjie Xu, Haifeng Lin, Kangjie Lu et al. · Forests · 2021 · 551 citations · Full text
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769

Nanjing Forestry University
Nanjing, China
14 h-index
54 publications
5.1K citations

Sejong University
Seoul, South Korea
12 h-index
42 publications
5.6K citations

Chinese Academy of Sciences
Beijing, China
12 h-index
46 publications
1.8K citations

Bilkent University
Ankara, Türkiye
12 h-index
27 publications
4.4K citations

Central South University
Changsha, China
11 h-index
43 publications
2.8K citations
University of Science and Technology of China
Hefei, China
11 h-index
42 publications
2.7K citations

Gachon University
Seongnam-si, South Korea
11 h-index
32 publications
1.7K citations

Concordia University
Montreal, Canada
10 h-index
25 publications
2.6K citations
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26 publications · 2.3K citations
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22 publications · 1.1K citations
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26 publications · 1.2K citations
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