Record link: 
http://hdl.handle.net/20.500.12708/19064
https://doi.org/10.34726/wim.1909
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Title: 
Vegetation Stratum Occupancy Prediction from Airborne LiDAR 3D Point Clouds
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Citation: 
Kalinicheva, E., Landrieu, L., Mallet, C., & Chehata, N. (2021). Vegetation Stratum Occupancy Prediction from Airborne LiDAR 3D Point Clouds. In Proceedings of the SilviLaser Conference 2021 (pp. 41–43). https://doi.org/10.34726/wim.1909
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reposiTUm DOI: 
10.34726/wim.1909
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CatalogPlus: 
AC17205298
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Publication Type: 
Inproceedings - Full-Paper Contribution
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Language: 
English
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Authors: 
Kalinicheva, Ekaterina 
Landrieu, Loic 
Mallet, Clement 
Chehata, Nesrine 
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Organisational Unit: 
E120-07 - Forschungsbereich Photogrammetrie 
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Series: 
Geowissenschaftliche Mitteilungen 
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Published in: 
Proceedings of the SilviLaser Conference 2021 
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Date (published): 
1-Dec-2021
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Number of Pages: 
3
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Peer reviewed: 
Yes
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Keywords: 
3D deep learning method
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Linked records in reposiTUm: is part of: 
10.34726/wim.1861
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License: 
In Copyright
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Appears in Collections:
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Conference Paper

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