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TYAGUR, N.
Originální název
ROBUST FILTERING OF MOBILE LASER SCANNER DATA
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
Mobile laser scanning (MLS) is popular not only for scanning in urban areas but also for scanning nature objects. Unlike airborne laser scanning data, MLS has bigger point density, and it is harder for software to handle them. In this paper, we were testing robust filtering on MLS datasets captured in the forest area of the Moravian Karst by Riegl VMX - 450 scanner. The data was taken in the same area of the Moravian Karst in May and then in December 2015. To process the data, we used software OPALS. We applied thinning and hierarchical interpolation to make data more homogenous and prepare point clouds for robust filtering. Then, from the classified terrain points, two digital terrain models were interpolated (grid size (0.5 x 0.5) m) and compared. The vertical accuracy of the DTM from December dataset is 0.11 m.
Klíčová slova
Mobile Laser Scanning, Robust Filtering, Point Cloud Filtering, Digital Terrain Model
Autoři
Vydáno
26. 1. 2017
Nakladatel
Vysoké učení technické v Brně
Místo
Brno
ISBN
978-80-214-5462-0
Kniha
Sborník abstraktů
Strany od
1
Strany do
9
Strany počet
BibTex
@inproceedings{BUT134304, author="Nataliya {Tyagur}", title="ROBUST FILTERING OF MOBILE LASER SCANNER DATA", booktitle="Sborník abstraktů", year="2017", pages="1--9", publisher="Vysoké učení technické v Brně", address="Brno", isbn="978-80-214-5462-0" }