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  5. Point clouds repeatability and fast scale factor estimates in free SfM surveying: terrestrial application and empirical approach
 
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Point clouds repeatability and fast scale factor estimates in free SfM surveying: terrestrial application and empirical approach

Author(s)
Pesci, Arianna  
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione Bologna, Bologna, Italia  
Teza, Giordano  
Dipartimento Fisica e Astronomia Universitร  di Bologna  
Loddo, Fabiana  
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione Bologna, Bologna, Italia  
Language
English
Obiettivo Specifico
OST5 Verso un nuovo Monitoraggio
Status
Published
JCR Journal
JCR Journal
Peer review journal
Yes
Journal
Annals of Geophysics  
Issue/vol(year)
5/66 (2023)
ISSN
2037-416X
Publisher
INGV
Pages (printed)
RS529
Date Issued
2023
DOI
10.4401/ag-9009
URI
https://www.earth-prints.org/handle/2122/16839
Subjects

SfM

Relative bundle adjus...

Scale factor

Uncertainty modeling

Abstract
Previous experiments highlighted the possible existence of a relation between repeatability of point
clouds obtained from Structure-from-Motion photogrammetry (SfM), represented by the standard
deviation (๐œŽ), and the nominal ground sampling distance (GSD). In particular, the empirical relation
3๐œŽ โˆผ 2.5 GSD was found. For this reason, in-situ tests aimed at studying this relation were carried
out. Data from seven surveys carried out in 2018-2022 time span allowed the comparison between 20
pairs of almost contemporary point clouds, generated by means of relative bundle adjustment (BA)
without ground control points (GCPs) and then relatively scaled and aligned. In this way, the
relation 3๐œŽ = aGSD was found, where a = 2.5 ยฑ 0.4. This result also suggested the use of the reverse
procedure, where the scale factor (SF) is estimated from the standard deviation of non-metric point
clouds, ๐œŽnmu, by using the relation SFa = aGSD/3๐œŽnmu. Additional checks proved that SFa differs
from SF by 3%. This error is not acceptable error for length, area or volume measurements, but
the estimated SFa is more than adequate for a fast, rough registration of photogrammetric models
aimed at searching patterns or precursors of incipient phenomena in impervious/inaccessible areas
or in emergency conditions.
References
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