- Article
(1403 KB) - Metadata XML
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Download
Articles | Volume XLVI-2/W1-2022
https://doi.org/10.5194/isprs-archives-XLVI-2-W1-2022-429-2022
© Author(s) 2022. This work is distributed under the Creative Commons Attribution 4.0 License.
25 Feb 2022
| 25 Feb 2022
AN IMAGE-BASED DEEP LEARNING WORKFLOW FOR 3D HERITAGE POINT CLOUD SEMANTIC SEGMENTATION
Viewed
Total article views: 1,578 (including HTML, PDF, and XML)
Views and downloads (calculated since 25 Feb 2022)
Cumulative views and downloads
(calculated since 25 Feb 2022)
Viewed (geographical distribution)
Total article views: 1,522 (including HTML, PDF, and XML)
Thereof 1,522 with geography defined
and 0 with unknown origin.
| Country | # | % |
|---|
Latest update: 07 Apr 2026
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