首页|期刊导航|地球空间信息科学学报（英文版）|Global road extraction using a pseudo-label guided framework:from benchmark dataset to cross-region semi-supervised learning

Global road extraction using a pseudo-label guided framework:from benchmark dataset to cross-region semi-supervised learning

Xiaoyan Lu Yanfei Zhong Zhuo Zheng JunJue Wang Dingyuan Chen Yu Su

地球空间信息科学学报（英文版）2025，Vol.28Issue(3)：中插5,904-922,20.

地球空间信息科学学报（英文版）2025，Vol.28Issue(3)：中插5,904-922,20.DOI:10.1080/10095020.2024.2362760

Global road extraction using a pseudo-label guided framework:from benchmark dataset to cross-region semi-supervised learning

Xiaoyan Lu ¹Yanfei Zhong ²Zhuo Zheng ³JunJue Wang ²Dingyuan Chen ²Yu Su²

作者信息

1. Department of Land Surveying and Geo-Informatics,The Hong Kong Polytechnic University,Hong Kong,China||Research Centre for Artificial Intelligence in Geomatics,The Hong Kong Polytechnic University,Hong Kong,China||State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,Wuhan,China
2. State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,Wuhan,China
3. Department of Computer Science,Stanford University,Stanford,CA,USA
折叠

摘要

关键词

Road extraction/global-scale/remote sensing/deep learning/semi-supervised learning

Key words

Road extraction/global-scale/remote sensing/deep learning/semi-supervised learning

引用本文复制引用

Xiaoyan Lu,Yanfei Zhong,Zhuo Zheng,JunJue Wang,Dingyuan Chen,Yu Su..Global road extraction using a pseudo-label guided framework:from benchmark dataset to cross-region semi-supervised learning[J].地球空间信息科学学报（英文版）,2025,28(3):中插5,904-922,20.

基金项目

This work was supported by National Key Research and Development Program of China[grant number 2022YFB3903404],and National Natural Science Foundation of China[grant number 42325105]. （）

地球空间信息科学学报（英文版）

ISSN：1009-5020

访问量0

下载量0

段落导航