融合多尺度分辨率和带状特征的遥感道路提取

李国燕,李鹏辉,刘榕,梅玉鹏,张明辉

Remote sensing road extraction by fusing multi-scale resolution and strip feature

Guoyan LI,Penghui LI,Rong LIU,Yupeng MEI,Minghui ZHANG

表 6 在SpaceNet数据集上所提模型与其他几种先进的道路提取方法对比

Tab.6 Comparison between proposed model and several other state-of-the-art road extraction methods on SpaceNet dataset

方法 P/% R/% F1/% IoU/% APLS/% Unet++(2018） 73.30 66.91 70.01 53.85 59.04 DeepLabV3+(2018） 72.85 72.55 72.70 57.10 61.27 SGCNet(2022) 73.96 68.75 71.27 55.56 60.73 TransRoadNet(2022) 74.63 74.36 70.83 54.84 61.29 CARNet(2023) 74.68 73.44 72.05 57.31 61.38 RoadFormer(2024） 74.35 75.73 74.88 58.91 61.45 StripUnet(2024) 75.07 74.48 74.06 58.82 62.09 MSRSF-Net(本文模型) 74.96 76.03 74.77 59.98 62.17