UNET NEURAL NETWORK IN AGRICULTURAL LAND COVER CLASSIFICATION USING SENTINEL-2
P. Kramarczykand B. Hejmanowska
P. Kramarczyk
AGH University of Science and Technology, Faculty of Geo-Data Science, Geodesy and Environmental Engineering, Department of Photogrammetry Remote Sensing of Environment and Spatial Engineering, Kraków, Poland
B. Hejmanowska
AGH University of Science and Technology, Faculty of Geo-Data Science, Geodesy and Environmental Engineering, Department of Photogrammetry Remote Sensing of Environment and Spatial Engineering, Kraków, Poland
Viewed
Total article views: 480 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
306
158
16
480
17
23
HTML: 306
PDF: 158
XML: 16
Total: 480
BibTeX: 17
EndNote: 23
Views and downloads (calculated since 19 Oct 2023)
Cumulative views and downloads
(calculated since 19 Oct 2023)
Viewed (geographical distribution)
Total article views: 452 (including HTML, PDF, and XML)
Thereof 452 with geography defined
and 0 with unknown origin.