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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
en
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:
Open Access Series
Conference Paper
Fulltext (Version of Record (published version))
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