Road Extraction from High-Resolution Remote Sensing Imagery Using Refined Deep Residual Convolutional Neural Network

Road extraction is one of the most significant tasks for modern transportation systems. This task is normally difficult due to complex backgrounds such as rural roads that have heterogeneous appearances with large intraclass and low interclass variations and urban roads that are covered by vehicles,...

Full description

Bibliographic Details

Published in:	Remote Sensing
Main Authors:	Lin Gao, Weidong Song, Jiguang Dai, Yang Chen
Format:	Article
Language:	English
Published:	MDPI AG 2019-03-01
Subjects:	refined deep residual convolutional neural network road extraction remote sensing tensor voting math morphology high-resolution imagery
Online Access:	http://www.mdpi.com/2072-4292/11/5/552