论文
GIScience & Remote Sensing
PublisherJournal
Platform
UrbanComputing
中文标题
超越静态图:一种尺度可变的动态图框架,融合空间与层次关系以实现城市土地利用制图
English Title
Beyond static graphs: a scale-variant dynamic graph-based framework integrating spatial and hierarchical relationships for urban land-use mapping
Yu Su Chenguang Dai Yongqi Sun Ruiyi Yang Anzhu Yu Yanfei Zhong a School of Surveying and Mapping, Information Engineering University, P.R. China b State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, P.R. China c Hubei Provincial Engineering Research Center of Natural Resources Remote Sensing Monitoring, Wuhan University, P.R. China Yu Su is a lecturer at Information Engineering University. Her research interests include urban land-use mapping based on multi-source geographic data. She contributed to the conceptualisation, methodology, validation, visualisation, formal analysis, investigation, data curation, writing and funding acquisition. Chenguang Dai is a professor at Information Engineering University. His research interests include remote sensing image interpretation and GIScience. He contributed to the conceptualisation, methodology, formal analysis, investigation, resources, writing and supervision. Yongqi Sun is a student at Information Engineering University. Her research interests include high resolution remote sensing classification and land cover mapping. She contributed to the investigation and data curation. Ruiyi Yang is a student at Wuhan University. Her research interests include remote sensing image scene classification. She contributed to the software and data curation. Anzhu Yu is a professor at Information Engineering University. His research interests include remote sensing image interpretation. He contributed to the conceptualisation, investigation, resources, supervision and funding acquisition. Yanfei Zhong is a professor at Wuhan University. His research interests include remote sensing image interpretation and GIScience. He contributed to the conceptualisation, investigation, resources, supervision and funding acquisition.
发布时间
2026/8/3 13:19:45
来源类型
journal
语言
en
摘要

Volume 63, Issue 1, December 2026 .

元数据
来源GIScience & Remote Sensing
类型论文
抽取状态raw
关键词
PublisherJournal
Platform
UrbanComputing