ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (Oct 2016)

USING A SPACE FILLING CURVE APPROACH FOR THE MANAGEMENT OF DYNAMIC POINT CLOUDS

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

DOI
https://doi.org/10.5194/isprs-annals-IV-2-W1-107-2016
Journal volume & issue
Vol. IV-2/W1
pp. 107 – 118

Abstract

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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.