武汉大学主页平台管理系统 Yang Min--Home-- Yan, Xiongfeng*; Yang, Min*. A deep learning approach for polyline and building simplification based on graph autoencoder with flexible constraints.

杨敏

Supervisor of Doctorate Candidates
Supervisor of Master's Candidates

Gender:Male
Alma Mater:武汉大学
Education Level:With Certificate of Graduation for Doctorate Study
Status:Employed
School/Department:资源与环境科学学院

Discipline: Cartography and Geography Information Systems;
Cartography and Geoinformation Engineering

Business Address:资源与环境科学学院电脑城413
Contact Information:yangmin2003@whu.edu.cn
E-Mail:

MOBILE Version

Click: times

Open Time:..

The Last Update Time:..

Current position: Home >> Scientific Research >> Paper Publications

Yan, Xiongfeng*; Yang, Min*. A deep learning approach for polyline and building simplification based on graph autoencoder with flexible constraints.

Hits : Praise

Journal:CARTOGRAPHY AND GEOGRAPHIC INFORMATION SCIENCE

Indexed by:Journal paper

Page Number:2023

Translation or Not:no

Pre One:Yu, Huafei, Ai, Tinghua, Yang, Min, Huang, Weiming, Harrie, Lars. A graph autoencoder network to measure the geometric similarity of drainage networks in scaling transformation.

Next One:A point selection method in map generalization using graph convolutional network model