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: 1,500 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
805
642
53
1,500
125
184
HTML: 805
PDF: 642
XML: 53
Total: 1,500
BibTeX: 125
EndNote: 184
Views and downloads (calculated since 30 May 2022)
Cumulative views and downloads
(calculated since 30 May 2022)
Viewed (geographical distribution)
Total article views: 1,456 (including HTML, PDF, and XML)
Thereof 1,456 with geography defined
and 0 with unknown origin.