机译:RoadNet:学习从高分辨率遥感影像中全面分析复杂城市场景中的道路网络
Wuhan Univ, Sch Remote Sensing & Informat Engn, Comp Vis & Remote Sensing Lab, Wuhan 430079, Hubei, Peoples R China;
Wuhan Univ, Sch Remote Sensing & Informat Engn, Comp Vis & Remote Sensing Lab, Wuhan 430079, Hubei, Peoples R China;
Wuhan Univ, Sch Remote Sensing & Informat Engn, Comp Vis & Remote Sensing Lab, Wuhan 430079, Hubei, Peoples R China;
Chinese Univ Hong Kong, Dept Comp Sci & Engn, Hong Kong, Peoples R China;
Wuhan Univ, Sch Remote Sensing & Informat Engn, Comp Vis & Remote Sensing Lab, Wuhan 430079, Hubei, Peoples R China;
Wuhan Univ, Sch Remote Sensing & Informat Engn, Comp Vis & Remote Sensing Lab, Wuhan 430079, Hubei, Peoples R China;
Benchmark data set; bilinear blending; centerline extraction; convolutional neural networks (CNNs); edge detection; image segmentation; loss function; road network extraction; user interaction;
机译:Roadnet:学习从高分辨率感测图像中全面分析复杂城市场景中的道路网络
机译:BT-Roadnet:高分辨率遥感图像的道路提取边界和拓扑信息网络
机译:基于多指标场景表示的城市高分辨率遥感影像自动变化检测新方法
机译:基于道路特征知识的高分辨率遥感影像中城市道路提取研究
机译:使用面向对象的方法从高分辨率遥感卫星图像和LiDAR数据的组合数据集中提取城市道路。
机译:结合多种算法对多源遥感影像进行路网跟踪:实用系统和性能评估
机译:MRORET:从非常高分辨率图像中同时提取路面和道路中心线的复杂城市场景