- Article
(1228 KB) - Metadata XML
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Download
Articles | Volume XLVIII-M-1-2023
https://doi.org/10.5194/isprs-archives-XLVIII-M-1-2023-503-2023
© Author(s) 2023. This work is distributed under the Creative Commons Attribution 4.0 License.
15 Aug 2023
| 15 Aug 2023
A FEATURE-BASED DEEP LEARNING APPROACH FOR THE EXTRACTION OF GROUND POINTS FROM 3D POINT CLOUDS
Viewed
Total article views: 438 (including HTML, PDF, and XML)
Views and downloads (calculated since 15 Aug 2023)
Cumulative views and downloads
(calculated since 15 Aug 2023)
Viewed (geographical distribution)
Total article views: 425 (including HTML, PDF, and XML)
Thereof 425 with geography defined
and 0 with unknown origin.
| Country | # | % |
|---|
Latest update: 01 Apr 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
c/o
Leibniz University Hannover
Institute of Photogrammetry and GeoInformation
Nienburger Str. 1
D-30167 Hannover
GERMANY
Email: isprs-sg@isprs.org