A method of comparative spatial analysis of a digitized (LiDAR) point cloud and the corresponding GIS database
author
Maigre, Riina
Haav, Hele-Mai
Lillemets, Rauni
Julge, Kalev
Anton, Gaspar
statement of authorship
Riina Maigre, Hele-Mai Haav, Rauni Lillemets, Kalev Julge, Gaspar Anton
source
Databases and Information Systems : 14th International Baltic Conference, DB&IS 2020, Tallinn, Estonia, June 16-19, 2020 : Proceedings
location of publication
Cham
publisher
Springer Nature
year of publication
2020
pages
p. 219-232 : ill
series
Communications in computer and information science ; 1243
conference name, date
14th International Baltic Conference, DB&IS 2020, Tallinn, Estonia, June 16-19, 2020
conference location
Tallinn, Estonia
url
https://doi.org/10.1007/978-3-030-57672-1_17
subject term
ruumiandmed
klastrid
LIDAR-tehnoloogia
mobiiltehnoloogia
geoinfosüsteemid
positsioneerimine
Scopus
https://www.scopus.com/sourceid/17700155007
https://www.scopus.com/record/display.uri?eid=2-s2.0-85089714987&origin=inward&txGid=a40b03396b30b20855672f82cc983cf0
quartile
Q4
category (general)
Mathematics
Matemaatika
Computer science
Arvutiteadus
category (sub)
Mathematics. General mathematics
Matemaatika. Üldmatemaatika
Computer science. General computer science
Arvutiteadus. Üldine arvutiteadus
keyword
spatial data analysis
clustering
Light Detection and Ranging (LiDAR) point cloud
Mobile Mapping Systems (MMS)
Geographic Information System (GIS)
ISSN
865-0929
ISBN
978-3-030-57671-4
notes
Bibliogr: 13 ref
International Baltic Conference on Databases and Information Systems (14 : 2020 : Tallinn, Estonia)
Baltic DB&IS 2020
scientific publication
teaduspublikatsioon
classifier
3.1
TalTech department
tarkvarateaduse instituut
ehituse ja arhitektuuri instituut
language
inglise
Reserch Group
Applied artificial intelligence group
Road engineering and geodesy research group