M:N Object matching on multiscale datasets based on MBR combinatorial optimization algorithm and spatial district-Reference-Cited by-同舟云学术

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M:N Object matching on multiscale datasets based on MBR combinatorial optimization algorithm and spatial district

Published:2018-11-21 Issue:6 Volume:22 Page:1573-1595
ISSN:1361-1682
Container-title:Transactions in GIS
language:en
Short-container-title:Transactions in GIS

Author:

Liu Lingjia¹^ORCID,Zhu Xinyan¹²³,Zhu Daoye¹,Ding Xiaohui⁴

Affiliation:

1. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing Wuhan University Wuhan China

2. Collaborative Innovation Center of Geospatial Technology Wuhan China

3. Key Laboratory of Aerospace Information Security and Trusted Computing of Ministry of Education Wuhan China

4. Northeast Institute of Geography and Agroecology Chinese Academy of Sciences Changchun China

Funder

State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing

Wuhan University

Publisher

Wiley

Subject

General Earth and Planetary Sciences

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/tgis.12488

Reference57 articles.

1. A comparative analysis of methodologies for database schema integration

2. Object Fusion in Geographic Information Systems

3. Integration of heterogeneous geospatial data in a federated database

4. Extended Hausdorff distance for spatial objects in GIS

5. A rubber sheeting algorithm for non-rectangular maps

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