A georeferenced graph model for geospatial data matching by optimising measures of similarity across multiple scales-Reference-Cited by-同舟云学术

A georeferenced graph model for geospatial data matching by optimising measures of similarity across multiple scales

Published:2020-12-15 Issue:11 Volume:35 Page:2339-2355
ISSN:1365-8816
Container-title:International Journal of Geographical Information Science
language:en
Short-container-title:International Journal of Geographical Information Science

Author:

Zhang Wen-Bin¹²^ORCID,Ge Yong¹²,Leung Yee³⁴,Zhou Yu⁴

Affiliation:

1. State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, P.R. China

2. College of Resources and Environment, University of Academy of Sciences, Beijing, P.R. China

3. Department of Geography and Resource Management, The Chinese University of Hong Kong, Hong Kong, P.R. China

4. Institute of Future Cities, The Chinese University of Hong Kong, Hong Kong, P.R. China

Funder

National Key Research and Development Program

National Natural Science Foundation for Distinguished Young Scholars of China

National Science Foundation of China

Hong Kong Research Grants Council

Publisher

Informa UK Limited

Subject

Library and Information Sciences,Geography, Planning and Development,Information Systems

Link

https://www.tandfonline.com/doi/pdf/10.1080/13658816.2020.1858301

Reference35 articles.

1. A linear programming approach for the weighted graph matching problem

2. Conflation of OpenStreetMap and Mobile Sports Tracking Data for Automatic Bicycle Routing

3. An eigenspace projection clustering method for inexact graph matching

4. Towards Building Data Semantic Similarity Analysis: OpenStreetMap and the Polish Database of Topographic Objects

5. A graph-matching kernel for object categorization

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