Wildfire Identification Based on an Improved Two-Channel Convolutional Neural Network
The identification of wildfires is a very complex task due to their different shapes, textures, and colours. Traditional image processing methods need to manually design feature extraction algorithms based on prior knowledge, and because fires at different stages have different characteristics, manu...
Main Authors: | Ying-Qing Guo, Gang Chen, Yi-Na Wang, Xiu-Mei Zha, Zhao-Dong Xu |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-08-01
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Series: | Forests |
Subjects: | |
Online Access: | https://www.mdpi.com/1999-4907/13/8/1302 |
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