Dataset Open Access
Tinto: Multisensor Benchmark for 3D Hyperspectral Point Cloud Segmentation in the Geosciences
Afifi, Ahmed J. M.;
Thiele, Samuel Thomas;
Rizaldy, Aldino;
Lorenz, Sandra;
Kirsch, Moritz;
Ghamisi, Pedram;
Tolosana Delgado, Raimon;
Gloaguen, Richard;
Heizmann, Michael
BibTeX Export
@misc{afifi_ahmed_j_m_2023_2256,
author = {Afifi, Ahmed J. M. and
Thiele, Samuel Thomas and
Rizaldy, Aldino and
Lorenz, Sandra and
Kirsch, Moritz and
Ghamisi, Pedram and
Tolosana Delgado, Raimon and
Gloaguen, Richard and
Heizmann, Michael},
title = {{Tinto: Multisensor Benchmark for 3D Hyperspectral
Point Cloud Segmentation in the Geosciences}},
month = apr,
year = 2023,
note = {{This research received funding from the Initiative
and Networking Fund (INF) of the Hermann von
Helmholtz Association of German Research Centres
in the framework of the Helmholtz Imaging Platform
under grant agreement No ZT-I-PF-4-021.}},
doi = {10.14278/rodare.2256},
url = {https://doi.org/10.14278/rodare.2256}
}
2,790
1,042
views
downloads
| All versions | This version | |
|---|---|---|
| Views | 2,790 | 2,790 |
| Downloads | 1,042 | 1,042 |
| Data volume | 9.0 TB | 9.0 TB |
| Unique views | 2,393 | 2,393 |
| Unique downloads | 333 | 333 |
- Publication date:
- April 19, 2023
- DOI:
-
- Keyword(s):
- point cloud hyperspectral hypercloud deep learning point cloud segmentation synthetic data digital outcrop
- Related identifiers:
- Identical to:
https://www.hzdr.de/publications/Publ-36833 - Referenced by:
https://www.hzdr.de/publications/Publ-38265 - Communities:
- License (for files):
- Creative Commons Attribution 4.0 International