Detail publikace

ROBUST FILTERING OF MOBILE LASER SCANNER DATA

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

TYAGUR, N.

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

9

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"
}