PointCNN-Based Individual Tree Detection Using LiDAR Point Clouds
In: Advances in Computer Graphics : 38th Computer Graphics International Conference, CGI 2021, Virtual Event, September 6–10, Jg. 13002 (2021), S. 89-100
Online
E-Book
Zugriff:
Titel: |
PointCNN-Based Individual Tree Detection Using LiDAR Point Clouds
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Autor/in / Beteiligte Person: | Ying, Wenyuan ; Dong, Tianyang ; Ding, Zhanfeng ; Zhang, Xinpeng ; Goos, Gerhard, Founding Editor ; Hartmanis, Juris, Founding Editor ; Bertino, Elisa [Ed.]ial Board Member ; Gao, Wen [Ed.]ial Board Member ; Steffen, Bernhard [Ed.]ial Board Member ; Woeginger, Gerhard [Ed.]ial Board Member ; Yung, Moti [Ed.]ial Board Member ; Magnenat-Thalmann, Nadia [Ed.] ; Interrante, Victoria [Ed.] ; Thalmann, Daniel [Ed.] ; Papagiannakis, George [Ed.] ; Sheng, Bin [Ed.] ; Kim, Jinman [Ed.] ; Gavrilova, Marina [Ed.] |
Zeitschrift: | Advances in Computer Graphics : 38th Computer Graphics International Conference, CGI 2021, Virtual Event, September 6–10, Jg. 13002 (2021), S. 89-100 |
Veröffentlichung: | 2021 |
Medientyp: | E-Book |
ISBN: | 978-3-030-89028-5 (print) ; 978-3-030-89029-2 (print) |
DOI: | 10.1007/978-3-030-89029-2_7 |
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