基于多尺度互注意力的遥感图像语义分割网络

刘春娟,乔泽,闫浩文,吴小所,王嘉伟,辛钰强

Semantic segmentation network for remote sensing image based on multi-scale mutual attention

Chun-juan LIU,Ze QIAO,Hao-wen YAN,Xiao-suo WU,Jia-wei WANG,Yu-qiang XIN

表 7 在Jiage数据集上与 8 种最先进的方法进行定量比较

Tab.7 Quantitative comparison with 8 state-of-the-art methods on Jiage dataset

模型 IoU/% mIoU/% 背景 植被 道路 水 建筑物 SegNet 61.42 87.27 91.44 45.42 66.58 70.42 PSPNet 79.08 89.91 96.25 48.81 81.27 79.06 DeeplabV3 80.83 88.67 95.27 56.51 78.66 79.99 EMANet 81.93 88.37 95.13 63.88 82.52 82.37 MSRF 80.62 87.49 94.19 69.51 81.37 82.64 CCNet 81.29 90.86 95.30 67.06 81.64 83.23 MagNet 82.37 91.31 95.70 70.47 82.78 84.52 DANNet 81.33 90.51 94.58 75.28 83.96 85.13 DCED-MMA-CGU 84.15 91.53 95.51 75.31 86.44 86.59