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Abstract
New and constantly developing technology for acquiring spatial data, such as LiDAR (light detection and ranging), is a source for large volume of data. However, such amount of data is not always needed for developing the most popular LiDAR products: digital terrain model (DTM) or digital surface model. Therefore, in many cases, the number of contained points are reduced in the pre-processing stage. The degree of reduction is determined by the algorithm used, which should enable the user to obtain a dataset appropriate and optimal for the planned purpose. The aim of this article is to propose a new Optimum Dataset method (OptD method) in the processing of LiDAR point clouds. The OptD method can reduce the number of points in a dataset for the specified optimization criteria concerning the characteristics of generated DTM. The OptD method can be used in two variants: OptD-single (one criterion for optimization) and OptD-multi (two or more optimization criteria). The OptD-single method has been thoroughly tested and presented by Błaszczak-Bąk (2016 Acta Geodyn. Geomater. 13/4 379–86). In this paper the authors discussed the OptD-multi method.
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Authors (3)
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Wioleta Błaszczak-bąk dr inż.
- Uniwersytet Warmińsko-Mazurski w Olsztynie, Wydział Geodezji, Inżynierii Przestrzennej i Budownictwa, Instytut Geodezji .
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Michał Kowalik
- Programmer, Herzogstandstr. 142, 85435 Erding, Germany .
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Details
- Category:
- Articles
- Type:
- artykuł w czasopiśmie wyróżnionym w JCR
- Published in:
-
MEASUREMENT SCIENCE & TECHNOLOGY
no. 28,
edition 7,
pages 1 - 11,
ISSN: 0957-0233 - Language:
- Polish
- Publication year:
- 2017
- Bibliographic description:
- Błaszczak-Bąk W., Sobieraj-Żłobińska A., Kowalik M.: The OptD-multi method in LiDAR processing// MEASUREMENT SCIENCE & TECHNOLOGY. -Vol. 28, iss. 7 (2017), s.1-11
- DOI:
- Digital Object Identifier (open in new tab) 10.1088/1361-6501/aa7444
- Verified by:
- Gdańsk University of Technology
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