- Article
(1084 KB) - Metadata XML
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Download
Articles | Volume X-1/W1-2023
https://doi.org/10.5194/isprs-annals-X-1-W1-2023-991-2023
© Author(s) 2023. This work is distributed under the Creative Commons Attribution 4.0 License.
05 Dec 2023
| 05 Dec 2023
DRONE-BASED CROP TYPE IDENTIFICATION WITH CONVOLUTIONAL NEURAL NETWORKS: AN EVALUATION OF THE PERFORMANCE OF RESNET ARCHITECTURES
Viewed
Total article views: 685 (including HTML, PDF, and XML)
Views and downloads (calculated since 05 Dec 2023)
Cumulative views and downloads
(calculated since 05 Dec 2023)
Viewed (geographical distribution)
Total article views: 663 (including HTML, PDF, and XML)
Thereof 663 with geography defined
and 0 with unknown origin.
| Country | # | % |
|---|
Latest update: 03 Dec 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