Assessment of along-normal uncertainties for application to terrestrial laser scanning surveys of engineering structures
author
Mill, Tarvo
Ellmann, Artu
statement of authorship
Tarvo Mill and Artu Ellmann
source
Survey review
publisher
Taylor & Francis
journal volume number month
Vol. 51, 364
year of publication
2019
pages
p. 1-16 : ill
url
https://doi.org/10.1080/00396265.2017.1361565
subject term
laserskaneerimine
kaugseire
andmevood
vead
mõõtemääramatus
kompuutersimulatsioon
keyword
surveying uncertainties
data noise
error
data simulation
optimisation of TLS surveys
ISSN
0039-6265
notes
Bibliogr. p. 15-16
scientific publication
teaduspublikatsioon
classifier
1.1
Scopus
https://www.scopus.com/sourceid/17473
https://www.scopus.com/record/display.uri?eid=2-s2.0-85027175518&origin=inward&txGid=7c2de7ae8e9f72f033b19c9f3fe07d3c
WOS
https://jcr.clarivate.com/jcr-jp/journal-profile?journal=SURV%20REV&year=2022
https://www.webofscience.com/wos/woscc/full-record/WOS:000455950100001
category (general)
Earth and planetary sciences
Maa- ja planeediteadused
Engineering
Tehnika
category (sub)
Earth and planetary sciences. Computers in earth sciences
Maa- ja planeediteadused. Arvutid maateadustes
Earth and planetary sciences. Earth and planetary sciences (miscellaneous)
Maa- ja planeediteadused. Maa- ja planeediteadused (mitmesugused)
Engineering. Civil and structural engineering
Tehnika. Ehitus- ja ehitustehnika
quartile
Q2
TalTech department
ehituse ja arhitektuuri instituut
language
inglise
Reserch Group
Road engineering and geodesy research group