- Article
(1401 KB) - Metadata XML
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Download
Articles | Volume XLII-2/W7
https://doi.org/10.5194/isprs-archives-XLII-2-W7-989-2017
© Author(s) 2017. This work is distributed under the Creative Commons Attribution 4.0 License.
13 Sep 2017
| 13 Sep 2017
APPLICATION OF CONVOLUTIONAL NEURAL NETWORK IN CLASSIFICATION OF HIGH RESOLUTION AGRICULTURAL REMOTE SENSING IMAGES
Viewed
Total article views: 2,602 (including HTML, PDF, and XML)
Views and downloads (calculated since 13 Sep 2017)
Cumulative views and downloads
(calculated since 13 Sep 2017)
Viewed (geographical distribution)
Total article views: 2,462 (including HTML, PDF, and XML)
Thereof 2,450 with geography defined
and 12 with unknown origin.
| Country | # | % |
|---|
Latest update: 06 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