- Article
(6222 KB) - Metadata XML
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Download
Articles | Volume XLIX-B1-2026
https://doi.org/10.5194/isprs-archives-XLIX-B1-2026-185-2026
© Author(s) 2026. This work is distributed under the Creative Commons Attribution 4.0 License.
22 Jul 2026
| 22 Jul 2026
A Data-Driven Framework for Structural Crack Identification in 3D Mobile LiDAR Scans Using Deep Learning Classification Models
Viewed
Total article views: 274 (including HTML, PDF, and XML)
Views and downloads (calculated since 22 Jul 2026)
Cumulative views and downloads
(calculated since 22 Jul 2026)
Viewed (geographical distribution)
Total article views: 253 (including HTML, PDF, and XML)
Thereof 253 with geography defined
and 0 with unknown origin.
| Country | # | % |
|---|
Latest update: 06 Oct 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