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: 736 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
432
282
22
736
33
110
HTML: 432
PDF: 282
XML: 22
Total: 736
BibTeX: 33
EndNote: 110
Views and downloads (calculated since 19 Oct 2023)
Cumulative views and downloads
(calculated since 19 Oct 2023)
Viewed (geographical distribution)
Total article views: 719 (including HTML, PDF, and XML)
Thereof 719 with geography defined
and 0 with unknown origin.