Automatic identification of building structure types using unmanned aerial vehicle oblique images and deep learning considering facade prior knowledge-Reference-Cited by-同舟云学术

Automatic identification of building structure types using unmanned aerial vehicle oblique images and deep learning considering facade prior knowledge

Published:2023-08-23 Issue:1 Volume:16 Page:3348-3367
ISSN:1753-8947
Container-title:International Journal of Digital Earth
language:en
Short-container-title:International Journal of Digital Earth

Author:

Zhang Leilei¹²,Wang Guoxin¹²^ORCID,Sun Weijian¹²

Affiliation:

1. State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian, People's Republic of China

2. Institute of Earthquake Engineering, Faculty of Infrastructure Engineering, Dalian University of Technology, Dalian, People's Republic of China

Funder

National Key Research and Development Program of China

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences,Computer Science Applications,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/17538947.2023.2247390

Reference42 articles.

1. Evaluation of the seismic risk of the unreinforced masonry building stock in Antioquia, Colombia

2. EDLines: A real-time line segment detector with a false detection control

3. Area-Wide estimation of seismic building structural types in rural areas by using decision tree and local knowledge in combination

4. Automated building characterization for seismic risk assessment using street-level imagery and deep learning

5. Ontology-Based Classification of Building Types Detected from Airborne Laser Scanning Data

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