Aerial LiDAR Data Augmentation for Direct Point-Cloud Visualisation

Aerial LiDAR Data Augmentation for Direct Point-Cloud Visualisation

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 inco...

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Bibliographic Details
Published in:Sensors (Basel, Switzerland) Vol. 20; no. 7; p. 2089
Main Authors: Bohak, Ciril, Slemenik, Matej, Kordež, Jaka, Marolt, Matija
Format: Journal Article
Language:English
Published: Switzerland MDPI AG 08-04-2020
MDPI
Subjects:
Buildings
Data augmentation
Data integration
Datasets
Lasers
LiDAR
Methods
point-cloud visualisation
point-clouds
Roofing
Sensors
Terrain
terrain reconstruction
Unmanned aerial vehicles
Urban areas
Vegetation
Visualization
water surface reconstruction
Slovenia
point-cloud visualisation
terrain reconstruction
point-clouds
water surface reconstruction
LiDAR
Online Access:Get full text
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Description
Summary: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.
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ISSN:1424-8220
1424-8220
DOI:10.3390/s20072089