CLASSIFICATION OF DATA FROM AIRBORNE LIDAR BATHYMETRY WITH RANDOM FOREST ALGORITHM BASED ON DIFFERENT FEATURE VECTORS
T. Kogut,M. Weistock,and K. Bakuła
T. Kogut
Dept. of Geoinformatics, Koszalin University of Technology, Sniadeckich 2, 75-453 Koszalin, Poland
M. Weistock
Dept. of Geoinformatics, Koszalin University of Technology, Sniadeckich 2, 75-453 Koszalin, Poland
K. Bakuła
Warsaw University of Technology, Faculty of Geodesy and Cartography, Department of Photogrammetry, Remote Sensing and Spatial Information Systems, 00-661 Warsaw, Poland
Viewed
Total article views: 681 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
378
283
20
681
17
19
HTML: 378
PDF: 283
XML: 20
Total: 681
BibTeX: 17
EndNote: 19
Views and downloads (calculated since 17 Sep 2019)
Cumulative views and downloads
(calculated since 17 Sep 2019)
Viewed (geographical distribution)
Total article views: 650 (including HTML, PDF, and XML)
Thereof 650 with geography defined
and 0 with unknown origin.