Aerial LiDAR data augmentation for direct point-cloud visualisation

Bohak, Ciril (avtor), Slemenik, Matej (avtor), Kordež, Jaka (avtor), Marolt, Matija (avtor)

Direct point-cloud visualisation is a common approach for visualising large datasets of aerial terrain LiDAR scans. However, because of the limitations of the acquisition technique, such visualisations often lack the desired visual appeal and quality, mostly because certain types of objects are incomplete or entirely missing (e.g., missing water surfaces, missing building walls and missing parts of the terrain). To improve the quality of direct LiDAR point-cloud rendering, we present a point-cloud processing pipeline that uses data fusion to augment the data with additional points on water surfaces, building walls and terrain through the use of vector maps of water surfaces and building outlines. In the last step of the pipeline, we also add colour information, and calculate point normals for illumination of individual points to make the final visualisation more visually appealing. We evaluate our approach on several parts of the Slovenian LiDAR dataset.

• Jezik: Angleški jezik
• Ključne besede: LiDAR, point-clouds, point-cloud visualisation, terrain reconstruction, water surface reconstruction
• Vrsta gradiva: Članek v reviji
• Tipologija: 1.01 - Izvirni znanstveni članek
• Organizacija: FRI - Fakulteta za računalništvo in informatiko
• Status publikacije: Objavljeno
• Različica publikacije: Objavljena publikacija
• Leto izida: 2020
• Št. strani: 17 str.
• Številčenje: Vol. 20, iss. 7, art. 2089
• PID: 20.500.12556/RUL-133366
• UDK: 004
• ISSN pri članku: 1424-8220
• DOI: 10.3390/s20072089
• COBISS.SI-ID: 1538566595
• Datum objave v RUL: 24.11.2021

Gradivo je del revije

• Naslov: Sensors
• Skrajšan naslov: Sensors
• Založnik: MDPI
• ISSN: 1424-8220
• COBISS.SI-ID: 10176278

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: 08.04.2020

Sekundarni jezik

• Jezik: Slovenski jezik
• Ključne besede: LiDAR, oblaki točk, vizualizacija oblakov točk, rekonstrukcija terena, rekonstrukcija vodnih površin