- Article
(2175 KB) - Metadata XML
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Download
Articles | Volume VI-4/W1-2020
https://doi.org/10.5194/isprs-annals-VI-4-W1-2020-159-2020
© Author(s) 2020. This work is distributed under the Creative Commons Attribution 4.0 License.
03 Sep 2020
| 03 Sep 2020
INDOOR LOCALIZATION FOR 3D MOBILE CADASTRAL MAPPING USING MACHINE LEARNING TECHNIQUES
Viewed
Total article views: 1,024 (including HTML, PDF, and XML)
Views and downloads (calculated since 03 Sep 2020)
Cumulative views and downloads
(calculated since 03 Sep 2020)
Viewed (geographical distribution)
Total article views: 961 (including HTML, PDF, and XML)
Thereof 961 with geography defined
and 0 with unknown origin.
| Country | # | % |
|---|
Cited
Latest update: 03 Jul 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