Matching the building footprints of different vector spatial datasets at a similar scale based on one-class support vector machines-Reference-Cited by-同舟云学术

Matching the building footprints of different vector spatial datasets at a similar scale based on one-class support vector machines

Published:2024-05-16 Issue:8 Volume:38 Page:1555-1582
ISSN:1365-8816
Container-title:International Journal of Geographical Information Science
language:en
Short-container-title:International Journal of Geographical Information Science

Author:

Xu Yongyang¹²³⁴,Li Jun³⁵,Xie Xuejing⁴,Xie Zhong¹²³

Affiliation:

1. School of Computer Science, China University of Geosciences, Wuhan, China

2. State Key Laboratory of Geo-information Engineering, Xi’an, China

3. School of Geography and Information Engineering, China University of Geosciences, Wuhan, China

4. National Engineering Research Center of Geographic Information System, China University of Geosciences, Wuhan, China

5. Central & Southern China Municipal Engineering Design and Research Institute Co., Ltd, Wuhan, China

Funder

National Key Research and Development Program of China

State Key Laboratory of Geo-Information Engineering

National Natural Science Foundation of China

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/13658816.2024.2351546

Reference59 articles.

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2. A shape analysis and template matching of building features by the Fourier transform method

3. Performance of shape indices and classification schemes for characterising perceptual shape complexity of building footprints in GIS

4. Representation Learning: A Review and New Perspectives

5. Blasby D. et al. 2003. Gis conflation using open source tools. White paper The Jump Project. http://citeseerx.ist.psu.edu.