izpis_h1_title_alt

Spatial ETL for 3D building modelling based on unmanned aerial vehicle data in semi-urban areas
ID Drešček, Urška (Avtor), ID Kosmatin Fras, Mojca (Avtor), ID Tekavec, Jernej (Avtor), ID Lisec, Anka (Avtor)

.pdfPDF - Predstavitvena datoteka, prenos (6,54 MB)
MD5: 542812001B550E9AFA1144D5426BC3CE
URLURL - Izvorni URL, za dostop obiščite https://www.mdpi.com/2072-4292/12/12/1972 Povezava se odpre v novem oknu

Izvleček
This paper provides the innovative approach of using a spatial extract, transform, load (ETL) solution for 3D building modelling, based on an unmanned aerial vehicle (UAV) photogrammetric point cloud. The main objective of the paper is to present the holistic workflow for 3D building modelling, emphasising the benefits of using spatial ETL solutions for this purpose. Namely, despite the increasing demands for 3D city models and their geospatial applications, the generation of 3D city models is still challenging in the geospatial domain. Advanced geospatial technologies provide various possibilities for the mass acquisition of geospatial data that is further used for 3D city modelling, but there is a huge difference in the cost and quality of input data. While aerial photogrammetry and airborne laser scanning involve high costs, UAV photogrammetry has brought new opportunities, including for small and medium-sized companies, by providing a more flexible and low-cost source of spatial data for 3D modelling. In our data-driven approach, we use a spatial ETL solution to reconstruct a 3D building model from a dense image matching point cloud which was obtained beforehand from UAV imagery. The results are 3D building models in a semantic vector format consistent with the OGC CityGML standard, Level of Detail 2 (LOD2). The approach has been tested on selected buildings in a simple semi-urban area. We conclude that spatial ETL solutions can be efficiently used for 3D building modelling from UAV data, where the data process model developed allows the developer to easily control and manipulate each processing step.

Jezik:Angleški jezik
Ključne besede:ETL, UAV, point cloud, 3D building modelling, CityGML, geodesy, spatial ETL
Vrsta gradiva:Članek v reviji
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:FGG - Fakulteta za gradbeništvo in geodezijo
Status publikacije:Objavljeno
Različica publikacije:Objavljena publikacija
Leto izida:2020
Št. strani:24 str.
Številčenje:Vol. 12, iss. 12, art. 1972
PID:20.500.12556/RUL-120763 Povezava se odpre v novem oknu
UDK:528.7
ISSN pri članku:2072-4292
DOI:10.3390/rs12121972 Povezava se odpre v novem oknu
COBISS.SI-ID:20371971 Povezava se odpre v novem oknu
Datum objave v RUL:25.09.2020
Število ogledov:835
Število prenosov:196
Metapodatki:XML RDF-CHPDL DC-XML DC-RDF
:
Kopiraj citat
Objavi na:Bookmark and Share

Gradivo je del revije

Naslov:Remote sensing
Skrajšan naslov:Remote sens.
Založnik:MDPI
ISSN:2072-4292
COBISS.SI-ID:32345133 Povezava se odpre v novem oknu

Licence

Licenca:CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
Povezava:http://creativecommons.org/licenses/by/4.0/deed.sl
Opis:To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.
Začetek licenciranja:19.06.2020

Sekundarni jezik

Jezik:Slovenski jezik
Ključne besede:ETL, UAV, oblak točk, 3D-modeliranje stavb, CityGML, geodezija

Projekti

Financer:ARRS - Agencija za raziskovalno dejavnost Republike Slovenije
Številka projekta:P2-0406
Naslov:Opazovanje Zemlje in geoinformatika

Podobna dela

Podobna dela v RUL:
Podobna dela v drugih slovenskih zbirkah:

Nazaj