Road Detection and Centerline Extraction Via Deep Recurrent Convolutional Neural Network U-Net

Xiaofei Yang; Xutao Li; Yunming Ye; Raymond Y. K. Lau; Xiaofeng Zhang; Xiaohui Huang

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Road Detection and Centerline Extraction Via Deep Recurrent Convolutional Neural Network U-Net

机译：通过深度递归卷积神经网络U-Net进行道路检测和中心线提取

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摘要

Road information extraction based on aerial images is a critical task for many applications, and it has attracted considerable attention from researchers in the field of remote sensing. The problem is mainly composed of two subtasks, namely, road detectio

机译：基于航拍图像的道路信息提取对于许多应用来说都是至关重要的任务，并且已经引起了遥感领域研究人员的极大关注。问题主要由两个子任务组成，即道路检测

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来源
《IEEE Transactions on Geoscience and Remote Sensing》 |2019年第9期|7209-7220|共12页
作者
Xiaofei Yang; Xutao Li; Yunming Ye; Raymond Y. K. Lau; Xiaofeng Zhang; Xiaohui Huang;
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作者单位

Harbin Institute of Technology Shenzhen China;

City University of Hong Kong Hong Kong;

School of Information E;

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原文格式 PDF
正文语种 eng
中图分类
关键词
Roads; Task analysis; Feature extraction; Image segmentation; Deep learning; Remote sensing; Automobiles;

机译：道路;任务分析;特征提取;图像分割深度学习;遥感;汽车类;

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7. Simultaneous Extraction of Road and Centerline from Aerial Images Using a Deep Convolutional Neural Network [O] . Tamara Alshaikhli, Wen Liu, Yoshihisa Maruyama 2021

机译：利用深卷积神经网络同时提取路线和中心线

Road Detection and Centerline Extraction Via Deep Recurrent Convolutional Neural Network U-Net

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