SEMANTIC URBAN MESH SEGMENTATION BASED ON AERIAL OBLIQUE IMAGES AND POINT CLOUDS USING DEEP LEARNING
Ł. Wilk,D. Mielczarek,W. Ostrowski,W. Dominik,and J. Krawczyk
Ł. Wilk
Department of Photogrammetry, Remote Sensing and Spatial Information Systems, Faculty of Geodesy and Cartography, Warsaw University of Technology, Warsaw, Poland
Department of Photogrammetry, Remote Sensing and Spatial Information Systems, Faculty of Geodesy and Cartography, Warsaw University of Technology, Warsaw, Poland
W. Dominik
OPEGIEKA, Elbląg, Poland
J. Krawczyk
OPEGIEKA, Elbląg, Poland
Viewed
Total article views: 1,804 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
905
786
113
1,804
183
245
HTML: 905
PDF: 786
XML: 113
Total: 1,804
BibTeX: 183
EndNote: 245
Views and downloads (calculated since 30 May 2022)
Cumulative views and downloads
(calculated since 30 May 2022)
Viewed (geographical distribution)
Total article views: 1,747 (including HTML, PDF, and XML)
Thereof 1,747 with geography defined
and 0 with unknown origin.