- Article
(2643 KB) - Metadata XML
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Download
Articles | Volume XLIV-2/W1-2021
https://doi.org/10.5194/isprs-archives-XLIV-2-W1-2021-33-2021
© Author(s) 2021. This work is distributed under the Creative Commons Attribution 4.0 License.
15 Apr 2021
| 15 Apr 2021
BOOSTING SEGMENTATION ACCURACY OF THE DEEP LEARNING MODELS BASED ON THE SYNTHETIC DATA GENERATION
Viewed
Total article views: 581 (including HTML, PDF, and XML)
Views and downloads (calculated since 15 Apr 2021)
Cumulative views and downloads
(calculated since 15 Apr 2021)
Viewed (geographical distribution)
Total article views: 564 (including HTML, PDF, and XML)
Thereof 564 with geography defined
and 0 with unknown origin.
| Country | # | % |
|---|
Latest update: 21 Nov 2024
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