Xufeng Lin

Sep 13, 2023 | mdpi.com | Tao Liu |Wenjing Chen |Xufeng Lin |Yunjie Mu

3.2.2. Performance AssessmentThe enhanced forest fire semantic segmentation model, built upon DeepLabV3+, integrates defogging optimization to generate defogging maps and forest fire segmentation simultaneously. In Figure 9, the green box highlights the area with flames, which is the target for segmentation. Image a shows the original input images used in the foggy forest fire segmentation task.

Jul 25, 2023 | mdpi.com | Xufeng Lin |Youwei Cheng |Gong Chen |Wenjing Chen

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Apr 10, 2023 | mdpi.com | Xufeng Lin |Zhongyuan Li |Wenjing Chen |Xueying Sun

Abstract:Modeling and prediction of forest fire occurrence play a key role in guiding forest fire prevention. From the perspective of the whole world, forest fires are a natural disaster with a great degree of hazard, and many countries have taken mountain fire prediction as an important measure for fire prevention and control, and have conducted corresponding research. In this study, a forest fire prediction model based on LSTNet is proposed to improve the accuracy of forest fire forecasts.