标题：A map-algebra-based method for automatic change detection and spatial data updating across multiple scales
作者： Yang, M (Yang, Min); Ai, TH (Ai, Tinghua); Yan, XF (Yan, Xiongfeng); Chen, YY (Chen, Yuanyuan); Zhang, X (Zhang, Xiang)
来源出版物：TRANSACTIONS IN GIS卷：22期：2页码: 435-454 DOI：10.1111/tgis.12320 出版年：APR 2018
摘要：The availability of geospatial data has increased significantly over recent decades. As a result, the question of how to update spatial data across different scales has become an attractive topic. One promising strategy is to use an updated larger-scale dataset as a reference for detecting and updating changed objects represented in a to-be-updated smaller-scale dataset. For such an update method, an understanding of the different types of changes that can occur is crucial. Using polygonal building data as an example, this study examines the various possible changes from different perspectives, such as the reasons for their occurrence, the forms in which they manifest, and their effects on output. Then, we apply map algebra theory to establish a cartographic model for updating polygonal building data. Supported by concepts of map algebra, an update procedure involving change detection, filtering, and fusion is implemented through a series of set operations. In addition to traditional polygon overlay functions, the constrained Delaunay triangulation model and knowledge of map generalization procedures are employed to construct set operations. The proposed method has been validated through tests using real-world data. The experimental results show that our method is effective for updating 1:10k map data using 1:2k map data.
入藏号：WOS:000430399600004
文献类型：Article
语种：English
扩展关键词： REPRESENTATION DATABASES; DELAUNAY TRIANGULATION; NETWORKS
通讯作者地址：Ai, TH (reprint author), Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430072, Hubei, Peoples R China.
电子邮件地址： tinghuaai@gmail.com
地址：
[Yang, Min; Ai, Tinghua; Yan, Xiongfeng; Chen, Yuanyuan; Zhang, Xiang] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430072, Hubei, Peoples R China.
[Yang, Min] Minist Land & Resources, Key Lab Urban Land Resources Monitoring & Simulat, Shenzhen, Peoples R China.
影响因子：2.252
