Urban road mapping based on an end-to-end road vectorization mapping network framework-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Urban road mapping based on an end-to-end road vectorization mapping network framework

Published:2021-08 Issue: Volume:178 Page:345-365
ISSN:0924-2716
Container-title:ISPRS Journal of Photogrammetry and Remote Sensing
language:en
Short-container-title:ISPRS Journal of Photogrammetry and Remote Sensing

Author:

Chen Dingyuan,Zhong Yanfei,Zheng Zhuo,Ma Ailong,Lu Xiaoyan

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference40 articles.

1. Automatic finding of main roads in aerial images by using geometric-stochastic models and estimation;Barzohar;IEEE Trans. Pattern Anal. Mach. Intell.,1996

2. RoadTracer: Automatic extraction of road networks from aerial images;Bastani,2018

3. Improved road connectivity by joint learning of orientation and segmentation;Batra,2019

4. Recovering line-networks in images by junction-point processes;Chai,2013

5. Linknet: Exploiting encoder representations for efficient semantic segmentation;Chaurasia,2017

Cited by 39 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An open-source data-driven automatic road extraction framework for diverse farmland application scenarios;Computers and Electronics in Agriculture;2025-08

2. Boosting Urban Openspace Mapping with the Enhancement Feature Fusion of Object Geometry Prior Information from Vision Foundation Model;Remote Sensing;2025-03-30

3. A Comparative Study of Deep Learning Methods for Automated Road Network Extraction from High-Spatial-Resolution Remotely Sensed Imagery;Photogrammetric Engineering & Remote Sensing;2025-03-01

4. Deep Merge: Deep-Learning-Based Region Merging for Remote Sensing Image Segmentation;IEEE Transactions on Geoscience and Remote Sensing;2025

5. KDGraph: A Keypoint Detection Method for Road Graph Extraction From Remote Sensing Images;IEEE Transactions on Geoscience and Remote Sensing;2025

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.7亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2025 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3