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
OPEGIEKA, Elbląg, Poland
D. Mielczarek
OPEGIEKA, Elbląg, Poland
W. Ostrowski
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: 1,098 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
637
440
21
1,098
90
143
HTML: 637
PDF: 440
XML: 21
Total: 1,098
BibTeX: 90
EndNote: 143
Views and downloads (calculated since 30 May 2022)
Cumulative views and downloads
(calculated since 30 May 2022)
Viewed (geographical distribution)
Total article views: 1,060 (including HTML, PDF, and XML)
Thereof 1,060 with geography defined
and 0 with unknown origin.