An Improved Method for Road Extraction from High-Resolution Remote-Sensing Images that Enhances Boundary Information

At present, deep-learning methods have been widely used in road extraction from remote-sensing images and have effectively improved the accuracy of road extraction. However, these methods are still affected by the loss of spatial features and the lack of global context information. To solve these pr...

Full description

Bibliographic Details

Published in:	Sensors
Main Authors:	Shuai Wang, Hui Yang, Qiangqiang Wu, Zhiteng Zheng, Yanlan Wu, Junli Li
Format:	Article
Language:	English
Published:	MDPI AG 2020-04-01
Subjects:	road extraction deep learning coordconv global attention high resolution
Online Access:	https://www.mdpi.com/1424-8220/20/7/2064