ROBUST FILTERING OF MOBILE LASER SCANNER DATA
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F17%3APU123083" target="_blank" >RIV/00216305:26110/17:PU123083 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
ROBUST FILTERING OF MOBILE LASER SCANNER DATA
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20705 - Remote sensing
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Sborník abstraktů
ISBN
978-80-214-5462-0
ISSN
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e-ISSN
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Number of pages
9
Pages from-to
1-9
Publisher name
Vysoké učení technické v Brně
Place of publication
Brno
Event location
Brno
Event date
Jan 26, 2017
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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