Forest Fire Monitoring Method Based on UAV Visual and Infrared Image Fusion
Forest fires have become a significant global threat, with many negative impacts on human habitats and forest ecosystems. This study proposed a forest fire identification method by fusing visual and infrared images, addressing the high false alarm and missed alarm rates of forest fire monitoring usi...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-06-01
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| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/15/12/3173 |
| _version_ | 1827735749556961280 |
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| author | Yuqi Liu Change Zheng Xiaodong Liu Ye Tian Jianzhong Zhang Wenbin Cui |
| author_facet | Yuqi Liu Change Zheng Xiaodong Liu Ye Tian Jianzhong Zhang Wenbin Cui |
| author_sort | Yuqi Liu |
| collection | DOAJ |
| description | Forest fires have become a significant global threat, with many negative impacts on human habitats and forest ecosystems. This study proposed a forest fire identification method by fusing visual and infrared images, addressing the high false alarm and missed alarm rates of forest fire monitoring using single spectral imagery. A dataset suitable for image fusion was created using UAV aerial photography. An improved image fusion network model, the FF-Net, incorporating an attention mechanism, was proposed. The YOLOv5 network was used for target detection, and the results showed that using fused images achieved a higher accuracy, with a false alarm rate of 0.49% and a missed alarm rate of 0.21%. As such, using fused images has greater significance for the early warning of forest fires. |
| first_indexed | 2024-03-11T01:58:10Z |
| format | Article |
| id | doaj.art-9685bba1e58f4742968abe75f3fb50ca |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-11T01:58:10Z |
| publishDate | 2023-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-9685bba1e58f4742968abe75f3fb50ca2023-11-18T12:27:30ZengMDPI AGRemote Sensing2072-42922023-06-011512317310.3390/rs15123173Forest Fire Monitoring Method Based on UAV Visual and Infrared Image FusionYuqi Liu0Change Zheng1Xiaodong Liu2Ye Tian3Jianzhong Zhang4Wenbin Cui5School of Technology, Beijing Forestry University, Beijing 100083, ChinaSchool of Technology, Beijing Forestry University, Beijing 100083, ChinaSchool of Ecology and Nature Conservation, Beijing Forestry University, Beijing 100083, ChinaSchool of Technology, Beijing Forestry University, Beijing 100083, ChinaSchool of Technology, Beijing Forestry University, Beijing 100083, ChinaOntario Ministry of Northern Development, Mines, Natural Resources and Forestry, Sault St. Marie, ON 279541, CanadaForest fires have become a significant global threat, with many negative impacts on human habitats and forest ecosystems. This study proposed a forest fire identification method by fusing visual and infrared images, addressing the high false alarm and missed alarm rates of forest fire monitoring using single spectral imagery. A dataset suitable for image fusion was created using UAV aerial photography. An improved image fusion network model, the FF-Net, incorporating an attention mechanism, was proposed. The YOLOv5 network was used for target detection, and the results showed that using fused images achieved a higher accuracy, with a false alarm rate of 0.49% and a missed alarm rate of 0.21%. As such, using fused images has greater significance for the early warning of forest fires.https://www.mdpi.com/2072-4292/15/12/3173unmanned aerial vehicle (UAV)image fusionforest fire detectionattention mechanism |
| spellingShingle | Yuqi Liu Change Zheng Xiaodong Liu Ye Tian Jianzhong Zhang Wenbin Cui Forest Fire Monitoring Method Based on UAV Visual and Infrared Image Fusion Remote Sensing unmanned aerial vehicle (UAV) image fusion forest fire detection attention mechanism |
| title | Forest Fire Monitoring Method Based on UAV Visual and Infrared Image Fusion |
| title_full | Forest Fire Monitoring Method Based on UAV Visual and Infrared Image Fusion |
| title_fullStr | Forest Fire Monitoring Method Based on UAV Visual and Infrared Image Fusion |
| title_full_unstemmed | Forest Fire Monitoring Method Based on UAV Visual and Infrared Image Fusion |
| title_short | Forest Fire Monitoring Method Based on UAV Visual and Infrared Image Fusion |
| title_sort | forest fire monitoring method based on uav visual and infrared image fusion |
| topic | unmanned aerial vehicle (UAV) image fusion forest fire detection attention mechanism |
| url | https://www.mdpi.com/2072-4292/15/12/3173 |
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