Using a space filling curve approach for the management of dynamic point clouds

Using a space filling curve approach for the management of dynamic point clouds

Psomadaki, S
van Oosterom, P.J.M. (TU Delft OLD Department of GIS Technology)
Tijssen, T.P.M. (TU Delft OLD Department of GIS Technology)
Baart, F. (Deltares)

2016

Point cloud usage has increased over the years. The development of low-cost sensors makes it now possible to acquire frequent point cloud measurements on a short time period (day, hour, second). Based on the requirements coming from the coastal monitoring domain, we have developed, implemented and benchmarked a spatio-temporal point cloud data management solution. For this reason, we make use of the flat model approach (one point per row) in an Index Organised Table within a RDBMS and an improved spatio-temporal organisation using a Space Filling Curve approach. Two variants coming from two extremes of the space - time continuum are also taken into account, along with two treatments of the z dimension: as attribute or as part of the space filling curve. Through executing a benchmark we elaborate on the performance -loading and querying time-, and storage required by those different approaches. Finally,
we validate the correctness and suitability of our method, through an out-of-the-box way of managing dynamic point clouds.

point cloud data
space filling curve
spatio-temporal data
benchmark
DBMS

http://resolver.tudelft.nl/uuid:9a6818ad-acfa-4e55-a890-481758619c1c

https://doi.org/10.5194/isprs-annals-IV-2-W1-107-2016

2194-9042

ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, IV-2/W1, 107-118

11th 3D Geoinfo Conference, 2016-10-20 → 2016-10-21, Athens, Greece

Institutional Repository

journal article

© 2016 S Psomadaki, P.J.M. van Oosterom, T.P.M. Tijssen, F. Baart