Keeping walls straight: data model and training set size matter for deep learning in building generalization-Reference-Cited by-同舟云学术

Keeping walls straight: data model and training set size matter for deep learning in building generalization

Published:2023-11-14 Issue: Volume: Page:1-16
ISSN:1523-0406
Container-title:Cartography and Geographic Information Science
language:en
Short-container-title:Cartography and Geographic Information Science

Author:

Fu Cheng¹^ORCID,Zhou Zhiyong¹^ORCID,Feng Yu²^ORCID,Weibel Robert¹^ORCID

Affiliation:

1. Department of Geography, University of Zurich, Switzerland

2. School of Engineering and Design, Technical University of Munich, Germany

Funder

National Science Foundation

Publisher

Informa UK Limited

Subject

Management of Technology and Innovation,Geography, Planning and Development,Civil and Structural Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/15230406.2023.2264757

Reference54 articles.

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

3. A review and conceptual framework of automated map generalization

4. Exploring the Potential of Deep Learning Segmentation for Mountain Roads Generalisation

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