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Abstract
Airborne laser scanning (ALS) is one of the LIDAR technologies (Light Detection and Ranging). It provides information about the terrain in form of a point cloud. During measurement is acquired: spatial data (object’s coordinates X, Y, Z) and collateral data such as intensity of reflected signal. The obtained point cloud is typically applied for generating a digital terrain model (DTM) and a digital surface model (DSM). For DTM and DSM generation it is necessary to apply filtration or classification algorithms. They allow to divide a point cloud into object groups (e.g.: terrain points, vegetation, etc.). In this study classification is conducted with one extra parameter – intensity. The obtained point groups were used for digital spatial model generation. Classification is a time and work consuming process, therefore there is a need to reduce the time of ALS point cloud processing. Optimization algorithm enables to decrease the number of points in a dataset. In this study the main goal was to test the impact of optimization on the results of a classification. Studies were conducted in two variants. Variant 1 includes classification of the original point cloud where points are divided in the groups: roofs, asphalt road, tree/bushes, grass. On variant 2 before classification, an optimization algorithm was performed in the original point cloud. Obtained from these two variants object groups were used to generate a spatial model, which was then statistically analyzed.
Authors (2)
-
Wioleta Błaszczak-Bąk dr inż.
- Uniwersytet Warmińsko-Mazurski w Olsztynie/Wydział Geodezji i Gospodarki Przestrzennej Instytut Geodezji
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- Category:
- Articles
- Type:
- artykuły w czasopismach recenzowanych i innych wydawnictwach ciągłych
- Published in:
-
Technical Sciences / University of Warmia and Mazury in Olsztyn
edition 16(2),
pages 147 - 164,
ISSN: 1505-4675 - Language:
- English
- Publication year:
- 2013
- Bibliographic description:
- Błaszczak-Bąk W., Sobieraj A.: Impact of optimization of ALS point cloud on classification// Technical Sciences / University of Warmia and Mazury in Olsztyn. -., iss. 16(2) (2013), s.147-164
- Verified by:
- Gdańsk University of Technology
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