TERRESTRIAL LASER SCANNER DATA PROCESSING
L. Bornaz (*), F. Rinaudo (*)
(*) Politecnico di Torino - Dipartimento di Georisorse e Territorio
C.so Duca degli Abruzzi, 24 — 10129 Torino
Tel. +39.011.564.7687 / 7659 Fax. +39.011.564.7699
Email: leandro.bornaz@polito.it; fulvio.rinaudo@polito.it
Commission V, WG V/4
KEY WORDS: Cultural Heritage, Surveying, Analysis, Registration, Laser scanning, Software.
ABSTRACT:
The introduction of new terrestrial laser scanner devices in the survey field has increased the possibility of more accurate and
complete 3D models of the acquired objects to be obtained. This happens, above all, in the architectural and archaeological survey
field in which the shape of an object is usually remarkably complex. Acquisition with laser scanner devices is, in addition, very fast
and cheap and the 3D models that are obtained are very useful for users. However, particular attention must be paid during the
analysis, the processing and the modelling phases of the laser scanner data.
The acquired data are often characterized by the presence of elevated noise (usually gross errors and outliers) which must be removed
with ad hoc techniques before starting with the manipulation of the data.
Usually architectural and archaeological objects have a very complex shape and one scan is not enough to obtain the complete
description of the object. In these cases, in order to eliminate the shaded areas, two or more scans must be taken from different points
of view of the same object. To obtain the final 3D model of the object it is therefore necessary to align and to georefer the single
scans using suitable registration techniques.
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In addition, when it is necessary to align a large series of scans, the use of triangulation algorithms represents the only way to avoid
distortions of the 3D model, in complete analogy with the case of long single strips in photogrammetry.
All these aspects have been considered and a specific software that is able to correctly process terrestrial laser scanner data has been
developed by the authors. The paper presents the algorithms and the solutions adopted in order to prepare the laser scanner data to the
subsequent work phases.
1. LASER SCANNERS
1.1 Terrestrial laser scanners
Recently new instruments have been introduced in the field
of surveying that are able to acquire portions of land and
objects of various shapes and sizes in a quick and cheap way.
These instruments, based on laser technology, are commonly
known as terrestrial laser scanners.
While laser scanner instruments based on the triangulation
principle and high degrees of precision (less than | mm) have
been widely used since ‘80s, the TOF (Time Of Flight)
instruments have been developed for metric survey
applications only in the last 5 years.
These type of laser scanners can be considered as highly
automated total stations. They are usually made up of a laser,
that has been optimised for high speed surveying, and of a set
of mechanisms that allows the laser beam to be directed in
space in a range that varies according to the instrument that is
being used.
For each acquired points a distance is measured on a known
direction: X, Y and Z coordinates of a point can be computed
for each recorded distance-direction
Laser scanners allow millions of points to be recorded in a
few minutes..
Because of their practicality and versatility, these kinds of
instruments are today widely used in the field of
architectural, archaeological and environmental surveying.
2. THE TREATMENT OF LASER SCANNER DATA
2.1 Laser scanner data
As mentioned before terrestrial laser scanners can be
considered as highly automatic motorised total stations.
Unlike total stations however, where the operator directly
chooses the points to be surveyed, laser scanners randomly
acquire a dense set of points. The operator only selects the
portion of the object he wishes to acquire and the density of
the points he desires in the scan (usually the angular step of
the scan in vertical and horizontal planes can be selected by
the operator). Once these initial values have been choosen,
the acquisition is completely automatic.
The result of the laser survey is a very dense points cloud
(also called DDSM — Dense Digital Surface Model). For each
point of the model the X, Y, and Z coordinates and the
reflectivity value are known.
As this set of points is acquired in a completely arbitrary
way, with the exception of the parameters imposed by the
operator, it is necessary to manage this data in a critical and
reasonable way. Particular attention must be paid to the
quality of the original data.
2.2 Laser scanner data treatment
The laser scanner data treatment consists of a set of actions
that are necessary to obtain the correct digital model of the
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