基于语义分割网络的高分遥感影像城市建成区提取方法研究与对比分析

刘钊, 赵桐, 廖斐凡, 李帅, 李海洋

Research and comparative analysis on urban built-up area extraction methods from high-resolution remote sensing image based on semantic segmentation network

LIU Zhao, ZHAO Tong, LIAO Feifan, LI Shuai, LI Haiyang

表2 网络最终训练精度比较

Tab.2 Network final training accuracy comparison

分类器/网络 训练集平 均损失/% 验证集平 均损失/% 验证集平 均准确率/% mIOU/% 背景IOU/% 前景IOU/% 51-80循环平 均前景IOU/% 训练时 长/h 随机森林 — — 85.48 55.98 — — — — 支持向量机 — — 79.82 46.27 — — — — Deeplab v3-50 13.85 10.13 90.65 85.38 95.30 75.46 74.74 48.92 Deeplab v3-101 12.78 9.68 90.88 85.70 95.41 75.98 75.68 68.35 PSPNet50 13.72 9.81 90.78 85.37 95.28 75.45 74.73 32.13 PSPNet101 10.95 8.66 92.44 87.25 95.88 78.63 78.01 51.86 ShelfNet50 11.54 9.08 92.38 86.71 95.65 77.76 77.05 14.02 ShelfNet101 12.05 9.31 91.60 86.12 95.49 76.94 76.89 15.63