- Article
(2805 KB) - Metadata XML
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Download
Articles | Volume X-4/W1-2022
https://doi.org/10.5194/isprs-annals-X-4-W1-2022-79-2023
© Author(s) 2023. This work is distributed under the Creative Commons Attribution 4.0 License.
13 Jan 2023
| 13 Jan 2023
A COMPARATIVE STUDY OF MACHINE LEARNING CLASSIFIERS FOR CROP TYPE MAPPING USING VEGETATION INDICES
Viewed
Total article views: 730 (including HTML, PDF, and XML)
Views and downloads (calculated since 13 Jan 2023)
Cumulative views and downloads
(calculated since 13 Jan 2023)
Viewed (geographical distribution)
Total article views: 722 (including HTML, PDF, and XML)
Thereof 722 with geography defined
and 0 with unknown origin.
| Country | # | % |
|---|
Cited
Latest update: 22 Feb 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