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: 397 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
222
156
19
397
24
33
HTML: 222
PDF: 156
XML: 19
Total: 397
BibTeX: 24
EndNote: 33
Views and downloads (calculated since 05 Dec 2023)
Cumulative views and downloads
(calculated since 05 Dec 2023)
Viewed (geographical distribution)
Total article views: 390 (including HTML, PDF, and XML)
Thereof 390 with geography defined
and 0 with unknown origin.