Raise the roof: towards generating LoD2 models without aerial surveys using machine learning
10.5194/isprs-annals-IV-4-W8-27-2019
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International Society for Photogrammetry and Remote Sensing
2019
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sg-nus-scholar.10635-1597082024-04-02T03:53:02Z Raise the roof: towards generating LoD2 models without aerial surveys using machine learning FILIP BILJECKI YOUNESS DEHBI ARCHITECTURE REAL ESTATE 10.5194/isprs-annals-IV-4-W8-27-2019 ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci. IV-4/W8 27-34 2019-10-02T06:44:06Z 2019-10-02T06:44:06Z 2019-09-23 Conference Paper FILIP BILJECKI, YOUNESS DEHBI (2019-09-23). Raise the roof: towards generating LoD2 models without aerial surveys using machine learning. ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci. IV-4/W8 : 27-34. ScholarBank@NUS Repository. https://doi.org/10.5194/isprs-annals-IV-4-W8-27-2019 https://scholarbank.nus.edu.sg/handle/10635/159708 Attribution-NonCommercial 4.0 International http://creativecommons.org/licenses/by-nc/4.0/ International Society for Photogrammetry and Remote Sensing |
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10.5194/isprs-annals-IV-4-W8-27-2019 |
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ARCHITECTURE |
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ARCHITECTURE FILIP BILJECKI YOUNESS DEHBI |
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FILIP BILJECKI YOUNESS DEHBI |
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FILIP BILJECKI YOUNESS DEHBI Raise the roof: towards generating LoD2 models without aerial surveys using machine learning |
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FILIP BILJECKI |
title |
Raise the roof: towards generating LoD2 models without aerial surveys using machine learning |
title_short |
Raise the roof: towards generating LoD2 models without aerial surveys using machine learning |
title_full |
Raise the roof: towards generating LoD2 models without aerial surveys using machine learning |
title_fullStr |
Raise the roof: towards generating LoD2 models without aerial surveys using machine learning |
title_full_unstemmed |
Raise the roof: towards generating LoD2 models without aerial surveys using machine learning |
title_sort |
raise the roof: towards generating lod2 models without aerial surveys using machine learning |
publisher |
International Society for Photogrammetry and Remote Sensing |
publishDate |
2019 |
url |
https://scholarbank.nus.edu.sg/handle/10635/159708 |
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