A Benchmark of Lidar-Based Single Tree Detection Methods Using Heterogeneous Forest Data from the Alpine Space
- DOI
- 10.3390/f6051721
- Published
- 2015-05-15
- Container
- Forests
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/f6051721,
title = {A Benchmark of Lidar-Based Single Tree Detection Methods Using Heterogeneous Forest Data from the Alpine Space},
author = {Lothar Eysn and Markus Hollaus and Eva Lindberg and Frédéric Berger and Jean-Matthieu Monnet and Michele Dalponte and Milan Kobal and Marco Pellegrini and Emanuele Lingua and Domen Mongus and Norbert Pfeifer},
year = {2015},
journal = {Forests},
doi = {10.3390/f6051721},
url = {https://doi.org/10.3390/f6051721}
}RIS
TY - JOUR TI - A Benchmark of Lidar-Based Single Tree Detection Methods Using Heterogeneous Forest Data from the Alpine Space AU - Lothar Eysn AU - Markus Hollaus AU - Eva Lindberg AU - Frédéric Berger AU - Jean-Matthieu Monnet AU - Michele Dalponte AU - Milan Kobal AU - Marco Pellegrini AU - Emanuele Lingua AU - Domen Mongus AU - Norbert Pfeifer PY - 2015 JO - Forests DO - 10.3390/f6051721 UR - https://doi.org/10.3390/f6051721 ER -
APA
Eysn, L., Hollaus, M., Lindberg, E., Berger, F., Monnet, J., Dalponte, M., Kobal, M., Pellegrini, M., Lingua, E., Mongus, D., & Pfeifer, N. (2015). A Benchmark of Lidar-Based Single Tree Detection Methods Using Heterogeneous Forest Data from the Alpine Space. Forests. https://doi.org/10.3390/f6051721
Source records
- crossref · retrieved 2026-09-25T14:32:37.250Z