- Article
(1116 KB) - Metadata XML
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Download
Articles | Volume XLIII-B3-2020
https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-479-2020
© Author(s) 2020. This work is distributed under the Creative Commons Attribution 4.0 License.
21 Aug 2020
| 21 Aug 2020
EMAP-DCNN: A NOVEL MATHEMATICAL MORPHOLOGY AND DEEP LEARNING COMBINED FRAMEWORK FOR HYPERSPECTRAL IMAGE CLASSIFICATION
Viewed
Total article views: 1,032 (including HTML, PDF, and XML)
Views and downloads (calculated since 21 Aug 2020)
Cumulative views and downloads
(calculated since 21 Aug 2020)
Viewed (geographical distribution)
Total article views: 991 (including HTML, PDF, and XML)
Thereof 991 with geography defined
and 0 with unknown origin.
| Country | # | % |
|---|
Cited
Latest update: 19 Jul 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