Point cloud density enhancement within PROION project

Aggeliki Kyriou; Konstantinos Nikolakopoulos

doi:10.1117/12.2680708

21 September 2023 Point cloud density enhancement within PROION project

Aggeliki Kyriou, Konstantinos Nikolakopoulos

Proceedings Volume 12786, Ninth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2023); 127860S (2023) https://doi.org/10.1117/12.2680708
Event: Ninth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2023), 2023, Ayia Napa, Cyprus

Abstract

Over the past few years Unmanned Aerial Vehicle (UAV) and Terrestrial Laser Scanner (TLS) have emerged as paramount remote sensing approaches for the generation of exceptional three-dimensional models. The current study aims to examine the synergistic use of UAV and TLS point clouds created in the context of “PROION” project. In particular, the project co-funded by the European Union and the Hellenic government, combines in situ measurements, remote sensing data and soft computing methods aiming at evaluating the possible deformation on national infrastructure located in Western Greece. 3D representations of the observation sites derived from UAV and TLS sensors constitute a key part of the validation procedure. In light of this, the spatial reconstruction of the observed infrastructure should be implemented in the best possible spatial resolution. Hence, each observation site was surveyed twice in a regular basis, i.e. a UAV flight was performed to collect points on the roof while a scanning was executed for the acquisition of facades. Afterwards the generated UAV and TLS 3D representations were fused in order to produce a more comprehensive 3D model of each infrastructure. The point clouds generated at the different processing stages were compared in terms of their density.

Citation Download Citation

Aggeliki Kyriou and Konstantinos Nikolakopoulos "Point cloud density enhancement within PROION project", Proc. SPIE 12786, Ninth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2023), 127860S (21 September 2023); https://doi.org/10.1117/12.2680708

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KEYWORDS

Point clouds

Unmanned aerial vehicles

3D modeling

Laser scanners

Geology

3D acquisition

Data modeling

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