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: 612 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
318
280
14
612
11
11
HTML: 318
PDF: 280
XML: 14
Total: 612
BibTeX: 11
EndNote: 11
Views and downloads (calculated since 30 May 2022)
Cumulative views and downloads
(calculated since 30 May 2022)
Viewed (geographical distribution)
Total article views: 589 (including HTML, PDF, and XML)
Thereof 589 with geography defined
and 0 with unknown origin.