- Article
(1319 KB) - Metadata XML
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Download
Articles | Volume XLII-5
https://doi.org/10.5194/isprs-archives-XLII-5-675-2018
© Author(s) 2018. This work is distributed under the Creative Commons Attribution 4.0 License.
19 Nov 2018
| 19 Nov 2018
COMPARATIVE STUDY ON DEEP NEURAL NETWORK MODELS FOR CROP CLASSIFICATION USING TIME SERIES POLSAR AND OPTICAL DATA
Viewed
Total article views: 1,492 (including HTML, PDF, and XML)
Views and downloads (calculated since 19 Nov 2018)
Cumulative views and downloads
(calculated since 19 Nov 2018)
Viewed (geographical distribution)
Total article views: 1,357 (including HTML, PDF, and XML)
Thereof 1,355 with geography defined
and 2 with unknown origin.
| Country | # | % |
|---|
Cited
Latest update: 11 Sep 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