Evaluation of Input Sampling Methods for Deep-Learning-Based Semantic Segmentation of Large-Scale 3D Point Clouds

Ciprián-Sánchez, Jorge Francisco; Burmeister, Josafat-Mattias; Richter, Rico; Ochoa Ruiz, Gilberto; Döllner, Jürgen

doi:https://doi.org/10.5194/isprs-annals-X-4-W6-2025-49-2025

Articles | Volume X-4/W6-2025

https://doi.org/10.5194/isprs-annals-X-4-W6-2025-49-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/isprs-annals-X-4-W6-2025-49-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume X-4/W6-2025

18 Sep 2025

| 18 Sep 2025

Evaluation of Input Sampling Methods for Deep-Learning-Based Semantic Segmentation of Large-Scale 3D Point Clouds

Jorge Francisco Ciprián-Sánchez, Josafat-Mattias Burmeister, Rico Richter, Gilberto Ochoa Ruiz, and Jürgen Döllner

Metrics will be available soon.

Latest update: 19 Sep 2025

The International Society for Photogrammetry and Remote Sensing is a non-governmental organization devoted to the development of international cooperation for the advancement of photogrammetry and remote sensing and their applications. The Society operates without any discrimination on grounds of race, religion, nationality, or political philosophy.

Useful Links

Useful External Links

Our Contact

ISPRS
c/o
Leibniz University Hannover
Institute of Photogrammetry and GeoInformation
Nienburger Str. 1
D-30167 Hannover
GERMANY
Email: isprs-sg@isprs.org