基于YOLOv5和Mask-RCNN组合模型的社交媒体内涝灾害分析

张凌嘉,周欣磊,许月萍,江衍铭

Analysis of inundation from social media based on integrated YOLOv5 and Mask-RCNN model

Lingjia ZHANG,Xinlei ZHOU,Yueping XU,Yenming CHIANG

表 4 3种水深提取模型的模拟实验误差分析

Tab.4 Error analysis of three water depth extraction models mm

模型 $ \mathrm{M}\mathrm{A}\mathrm{E} $ $ \mathrm{M}\mathrm{A}\mathrm{P}\mathrm{E} $ $ \mathrm{R}\mathrm{M}\mathrm{S}\mathrm{E} $ $ \mathrm{N}\mathrm{S}\mathrm{E} $ YOLOv5 96.69 0.1497 146.30 0.9486 Mask-RCNN 137.40 0.5818 227.60 0.6949 YOLOv5 &Mask-RCNN 54.42 0.1067 91.67 0.9820