A COMPARISON OF DEEP LEARNING-BASED SUPER-RESOLUTION FRAMEWORKS FOR SENTINEL-2 IMAGERY IN URBAN AREAS
S. T. Seydiand H. Arefi
S. T. Seydi
i3mainz, Institute for Spatial Information and Surveying Technology, School of Technology, Mainz University of Applied Sciences, D-55118 Mainz, Germany
H. Arefi
i3mainz, Institute for Spatial Information and Surveying Technology, School of Technology, Mainz University of Applied Sciences, D-55118 Mainz, Germany
Viewed
Total article views: 1,270 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
782
394
94
1,270
165
229
HTML: 782
PDF: 394
XML: 94
Total: 1,270
BibTeX: 165
EndNote: 229
Views and downloads (calculated since 05 Dec 2023)
Cumulative views and downloads
(calculated since 05 Dec 2023)
Viewed (geographical distribution)
Total article views: 1,225 (including HTML, PDF, and XML)
Thereof 1,225 with geography defined
and 0 with unknown origin.