- Article
(7022 KB) - Metadata XML
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Download
Articles | Volume V-3-2022
https://doi.org/10.5194/isprs-annals-V-3-2022-455-2022
© Author(s) 2022. This work is distributed under the Creative Commons Attribution 4.0 License.
17 May 2022
| 17 May 2022
DETECTION OF DEGRADED ACACIA TREE SPECIES USING DEEP NEURAL NETWORKS ON UAV DRONE IMAGERY
Viewed
Total article views: 819 (including HTML, PDF, and XML)
Views and downloads (calculated since 17 May 2022)
Cumulative views and downloads
(calculated since 17 May 2022)
Viewed (geographical distribution)
Total article views: 813 (including HTML, PDF, and XML)
Thereof 813 with geography defined
and 0 with unknown origin.
| Country | # | % |
|---|
Latest update: 14 Mar 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