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A Review and Case S...
A Review and Case Study of Neural Network Techniques for Automated Generation of High Level-of-Detail 3D City Models
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- Naserentin, Vasilis, 1981 (author)
- Chalmers tekniska högskola,Chalmers University of Technology
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- Spaias, Georgios (author)
- Aristotelio Panepistimio Thessalonikis,Aristotle University of Thessaloniki
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- Kaimakamidis, Anestis (author)
- Aristotelio Panepistimio Thessalonikis,Aristotle University of Thessaloniki
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- Pitsianis, Nikos (author)
- Aristotelio Panepistimio Thessalonikis,Aristotle University of Thessaloniki
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- Logg, Anders, 1976 (author)
- Gothenburg University,Göteborgs universitet,Institutionen för matematiska vetenskaper,Department of Mathematical Sciences,University of Gothenburg
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(creator_code:org_t)
- 2023
- 2023
- English.
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In: Springer Proceedings in Mathematics and Statistics. - 2194-1009 .- 2194-1017. - 9783031358708
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Abstract
Subject headings
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- The growing interest in creating digital twins of cities has sparked a surge in the development of detailed 3D models. In this paper we examine the current state-of-the-art in generating high-resolution 3D models of cities using neural network techniques. Additionally, we showcase the outcomes of two case studies that demonstrate the practical applications of these techniques in 3D city model generation. The first case study focuses on rooftop segmentation using publicly available Swedish cadastral data, while the second case study explores façade feature extraction using Google Street View data.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap -- Systemvetenskap, informationssystem och informatik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Information Systems (hsv//eng)
Keyword
- 3D city models
- Digital twins of cities
- Neural networks
- Digital twins of cities
Publication and Content Type
- ref (subject category)
- kon (subject category)
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