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

GeoJSON Export

{
  "type": "FeatureCollection", 
  "features": []
}
3,016
1,134
views
downloads
All versions This version
Views 3,0163,016
Downloads 1,1341,134
Data volume 9.8 TB9.8 TB
Unique views 2,5922,592
Unique downloads 353353
More info on how stats are collected.
Publication date:
April 19, 2023
DOI:
10.14278/rodare.2256

RODARE DOI Badge

DOI 

10.14278/rodare.2256

Markdown 

[![DOI](https://rodare.hzdr.de/badge/DOI/10.14278/rodare.2256.svg)](https://doi.org/10.14278/rodare.2256)

reStructedText 

.. image:: https://rodare.hzdr.de/badge/DOI/10.14278/rodare.2256.svg
   :target: https://doi.org/10.14278/rodare.2256

HTML 

<a href="https://doi.org/10.14278/rodare.2256"><img src="https://rodare.hzdr.de/badge/DOI/10.14278/rodare.2256.svg" alt="DOI"></a>

Image URL 

https://rodare.hzdr.de/badge/DOI/10.14278/rodare.2256.svg

Target URL 

https://doi.org/10.14278/rodare.2256

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

Versions

Version 1 10.14278/rodare.2256 Apr 19, 2023
Cite all versions? You can cite all versions by using the DOI 10.14278/rodare.2255. This DOI represents all versions, and will always resolve to the latest one. Read more.

Share

Cite as

Export