- Article
(2304 KB) - Metadata XML
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Download
Articles | Volume XLII-3/W10
https://doi.org/10.5194/isprs-archives-XLII-3-W10-335-2020
© Author(s) 2020. This work is distributed under the Creative Commons Attribution 4.0 License.
07 Feb 2020
HYPERSPECTRAL IMAGES CLASSIFICATION BASED ON FUSION FEATURES DERIVED FROM 1D AND 2D CONVOLUTIONAL NEURAL NETWORK
Viewed
Total article views: 452 (including HTML, PDF, and XML)
Views and downloads (calculated since 07 Feb 2020)
Cumulative views and downloads
(calculated since 07 Feb 2020)
Viewed (geographical distribution)
Total article views: 413 (including HTML, PDF, and XML)
Thereof 410 with geography defined
and 3 with unknown origin.
| Country | # | % |
|---|
Latest update: 03 Oct 2023
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