A SHALLOW NEURAL NETWORK MODEL FOR URBAN LAND COVER CLASSIFICATION USING VHR SATELLITE IMAGE FEATURES
M. Fawzy,G. Szabó,and A. Barsi
M. Fawzy
Department of Photogrammetry and Geoinformatics, Faculty of Civil Engineering, Budapest University of Technology and Economics, 3 Műegyetem rkp., K Building First Floor 31., H-1111, Budapest, Hungary
Civil Eng. Dept., Faculty of Engineering, South Valley University, Qena, Egypt
G. Szabó
Institute of Mathematics and Informatics, University of Nyíregyháza, Sóstói út 31/b A ép.112, H-4400, Nyíregyháza, Hungary
Department of Photogrammetry and Geoinformatics, Faculty of Civil Engineering, Budapest University of Technology and Economics, 3 Műegyetem rkp., K Building First Floor 31., H-1111, Budapest, Hungary
Viewed
Total article views: 207 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
132
54
21
207
15
11
HTML: 132
PDF: 54
XML: 21
Total: 207
BibTeX: 15
EndNote: 11
Views and downloads (calculated since 05 Dec 2023)
Cumulative views and downloads
(calculated since 05 Dec 2023)
Viewed (geographical distribution)
Total article views: 203 (including HTML, PDF, and XML)
Thereof 203 with geography defined
and 0 with unknown origin.