Methods for Geometric Accuracy Investigations of Terrestrial Laser Scanning Systems

2009 ◽  
Vol 2009 (4) ◽  
pp. 301-315 ◽  
Author(s):  
Thomas P. Kersten ◽  
Klaus Mechelke ◽  
Maren Lindstaedt ◽  
Harald Sternberg
Keyword(s):  
Laser Scanning ◽  
Terrestrial Laser Scanning ◽  
Geometric Accuracy ◽  
Scanning Systems

Terrestrial Laser Scanning Systems

2020 ◽  
pp. 83-120
Author(s):  
Alojz Kopáčik ◽  
Ján Erdélyi ◽  
Peter Kyrinovič
Keyword(s):  
Laser Scanning ◽  
Terrestrial Laser Scanning ◽  
Scanning Systems

Standard artifact for the geometric verification of terrestrial laser scanning systems

2011 ◽  
Vol 43 (7) ◽  
pp. 1249-1256 ◽  
Author(s):  
H. González-Jorge ◽  
B. Riveiro ◽  
J. Armesto ◽  
P. Arias
Keyword(s):  
Laser Scanning ◽  
Terrestrial Laser Scanning ◽  
Scanning Systems ◽  
Geometric Verification

scholarly journals Coastal Monitoring: A New Approach

Chimera ◽  
2013 ◽  
Vol 26 (2012/2013) ◽  
pp. 69-83
Author(s):  
Sarah M. Kandrot
Keyword(s):  
Laser Scanning ◽  
Morphological Changes ◽  
Survey Methods ◽  
Terrestrial Laser Scanning ◽  
Coastal Environments ◽  
3 Dimensional ◽  
Multi Temporal ◽  
Hazard And Risk ◽  
Maximum Protection ◽  
Scanning Systems

Monitoring changes in the morphology of coastal environments is important for understanding how they function as systems and how they can be most effectively managed to offer maximum protection of the coastal hinterland. The quick, precise, and efficient method of topographic data capture associated with a remote sensing (RS) technology called terrestrial laser scanning (TLS), also known as ground-based Light Detection and Ranging (LiDAR), facilitates improved monitoring of morphological changes to coastal environments over traditional survey methods. Terrestrial laser scanning systems are capable of providing extremely detailed 3-dimensional topographic information in the form of a “point cloud” – a densely packed collection of x,y,z coordinates that collectively represent the external surface (often the ground) of a surveyed area. Such detailed elevation information is useful for coastal research, resource management and planning, hazard and risk assessment, and evaluating the impacts of climate change and sea-level rise on the coast. This paper introduces TLS and its applications in a coastal setting and addresses some of the challenges associated with its use as a monitoring tool in vegetated coastal dune environments. Such challenges include optimising time spent in the field, working with large datasets, classifying simple and complex scenes, and analysing multi-temporal datasets.

scholarly journals Metrological intercomparison of six terrestrial laser scanning systems

2018 ◽  
Vol 12 (2) ◽  
pp. 218-222 ◽  
Author(s):  
Higinio González-Jorge ◽  
Pablo Rodríguez-Gonzálvez ◽  
Yueqian Shen ◽  
Susana Lagüela ◽  
Lucía Díaz-Vilariño ◽  
...  
Keyword(s):  
Laser Scanning ◽  
Terrestrial Laser Scanning ◽  
Scanning Systems

Use of Terrestrial Laser Scanning for Assessment of Tank Aluminum Roofs Stress-Strain State

2017 ◽  
pp. 11-17
Author(s):  
G.G. Vasilyev ◽  
◽  
I.A. Leonovich ◽  
A.P. Salnikov ◽  
◽  
...  
Keyword(s):  
Laser Scanning ◽  
Strain State ◽  
Terrestrial Laser Scanning ◽  
Stress Strain ◽  
Stress Strain State

Assessment of automatic segmentation accuracy with various point cloud density

2020 ◽  
Vol 961 (7) ◽  
pp. 47-55
Author(s):  
A.G. Yunusov ◽  
A.J. Jdeed ◽  
N.S. Begliarov ◽  
M.A. Elshewy
Keyword(s):  
Point Cloud ◽  
Laser Scanning ◽  
Reference Data ◽  
Automatic Segmentation ◽  
Geometric Accuracy ◽  
Segmentation Method ◽  
Segmentation Methods ◽  
Segmentation Accuracy ◽  
Number Of Segments ◽  
Cloud Density

Laser scanning is considered as one of the most useful and fast technologies for modelling. On the other hand, the size of scan results can vary from hundreds to several million points. As a result, the large volume of the obtained clouds leads to complication at processing the results and increases the time costs. One way to reduce the volume of a point cloud is segmentation, which reduces the amount of data from several million points to a limited number of segments. In this article, we evaluated effect on the performance, the accuracy of various segmentation methods and the geometric accuracy of the obtained models at density changes taking into account the processing time. The results of our experiment were compared with reference data in a form of comparative analysis. As a conclusion, some recommendations for choosing the best segmentation method were proposed.

Sign in / Sign up

Export Citation Format

Share Document