Generation of 3D Point Clouds with Terrestrial Laser Scanner : Georeferencing and Quality Evaluation

Context: LIDAR technique allows the 3D modeling of structures with an unprecedented resolution and millimetric precision. This technology is naturally related to Surveying, even more when models are linked to geodesic and vertical reference systems. Diverse LIDAR surveys should be geometrically lin...

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Detalles Bibliográficos
Autores principales: Falip, Sofía, Del Cogliano, Daniel Héctor
Formato: Articulo
Lenguaje:Español
Publicado: 2019
Materias:
Geofísica
Terrestrial laser scanning
georeferencing
3D point clouds
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/115816
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-115816
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Español
topic Geofísica
Terrestrial laser scanning
georeferencing
3D point clouds
spellingShingle Geofísica
Terrestrial laser scanning
georeferencing
3D point clouds
Falip, Sofía
Del Cogliano, Daniel Héctor
Generation of 3D Point Clouds with Terrestrial Laser Scanner : Georeferencing and Quality Evaluation
topic_facet Geofísica
Terrestrial laser scanning
georeferencing
3D point clouds
description Context: LIDAR technique allows the 3D modeling of structures with an unprecedented resolution and millimetric precision. This technology is naturally related to Surveying, even more when models are linked to geodesic and vertical reference systems. Diverse LIDAR surveys should be geometrically linked with topographic classic techniques or with geodetic methods such as GNSS. Such linkage conditions the geometric external quality of the integrated model. In order to compare 3D models of millimetric quality through time, the accuracy of the geodetic determinations should be validated. Method: Two buildings that belong to the National University of La Plata were surveyed with TLS (terrestrial laser scanning). These scanners measure the visible surface. Therefore, the complete survey of any complex object requires a series of stations of registration. The final product results from the spatial vinculation of the different adjacent point clouds. In order to do that, there are different techniques. The one used in this case is that of common elements identified from neighboring stations. The results referred to a terrestrial geodetic frame were obtained through a polygonal based on measurements of total stations, automatic level and GNSS. The quality of the 3D final point clouds obtained was assessed internally considering the processing statistical parameters, and externally through the coordinates of control points obtained with independent methods. Results: The internal geometric quality of the point clouds generated with the TLS Trimble TX5, was estimated in 1 to 3 millimeters (1RMS). The classical topographic techniques used in the polygonal gave a coherence of 3 mm in each components, while for the georeferencing obtained with GNSS measurements was 1 cm. Conclusions: The internal geometric quality of the 3D models shows the capacity of representation of LIDAR and its potential for internal deformations’ analysis. The different 3D point clouds, initially dissociated, can be integrated through geodetic-topographic methods, and expressed in a suitable geodetic reference frame.
format Articulo
Articulo
author Falip, Sofía
Del Cogliano, Daniel Héctor
author_facet Falip, Sofía
Del Cogliano, Daniel Héctor
author_sort Falip, Sofía
title Generation of 3D Point Clouds with Terrestrial Laser Scanner : Georeferencing and Quality Evaluation
title_short Generation of 3D Point Clouds with Terrestrial Laser Scanner : Georeferencing and Quality Evaluation
title_full Generation of 3D Point Clouds with Terrestrial Laser Scanner : Georeferencing and Quality Evaluation
title_fullStr Generation of 3D Point Clouds with Terrestrial Laser Scanner : Georeferencing and Quality Evaluation
title_full_unstemmed Generation of 3D Point Clouds with Terrestrial Laser Scanner : Georeferencing and Quality Evaluation
title_sort generation of 3d point clouds with terrestrial laser scanner : georeferencing and quality evaluation
publishDate 2019
url http://sedici.unlp.edu.ar/handle/10915/115816
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