Record link: 
http://hdl.handle.net/20.500.12708/228289
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Title: 
Toward Platform-Invariant Forest 3D Perception: A Multi-platform Synergistic Training for Forest Point Cloud Segmentation
en
Citation: 
Jiang, J., Shen, Y., Wang, J., Hollaus, M., Kissling, W. D., Ferreira, V., & Pfeifer, N. (2026). Toward Platform-Invariant Forest 3D Perception: A Multi-platform Synergistic Training for Forest Point Cloud Segmentation. In EGU General Assembly 2026. EGU General Assembly 2026, Wien, Austria. https://doi.org/10.5194/egusphere-egu26-4814
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Publisher DOI: 
10.5194/egusphere-egu26-4814
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Publication Type: 
Inproceedings - Abstract Book Contribution
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Language: 
English
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Authors: 
Jiang, Jundi 
Shen, Yueqian 
Wang, Jinhu 
Hollaus, Markus 
Kissling, W. Daniel 
Ferreira, Vagner 
Pfeifer, Norbert 
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Organisational Unit: 
E120-07 - Forschungsbereich Photogrammetrie 
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Published in: 
EGU General Assembly 2026 
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Date (published): 
May-2026
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Event name: 
EGU General Assembly 2026 
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Event date: 
3-May-2026 - 8-May-2026
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Event place: 
Wien, Austria
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Number of Pages: 
2
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Keywords: 
photogrammetry
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Research Areas: 
Environmental Monitoring and Climate Adaptation: 100%
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Science Branch: 
2074 - Geodäsie, Vermessungswesen: 70%
1020 - Informatik: 15%
1054 - Physische Geographie: 15%
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Appears in Collections:
Conference Paper

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