Cristin-resultat-ID: 1698980
Sist endret: 19. november 2019, 08:49
Vitenskapelig foredrag

Locally refined splines for compact representation and analyses of geospatial big data

  • Tor Dokken


Navn på arrangementet: Mathematical Models and Methods in Earth and Space Sciences
Sted: Rome
Dato fra: 19. mars 2019
Dato til: 22. mars 2019


Arrangørnavn: Dept. of Mathematics, University of Rome Tor Vergata

Om resultatet

Vitenskapelig foredrag
Publiseringsår: 2019

Beskrivelse Beskrivelse


Locally refined splines for compact representation and analyses of geospatial big data


The volume of geospatial data acquired by satellites, from the air, on the ground, on the sea or in the sea using image, lidar or sonar technology is continuously growing. Surveys are often conducted in locations that have existing data from before, providing updated datasets. The data acquired can either confirm already existing information, or it can represent changes important to detect and understand. In the fp7 IP (2012-2016) technology for the representation of huge datasets of the ocean floor was developed using a novel technology called locally refined splines. The work is continued in the national Norwegian project (2017-2021). The smooth component of the data is represented using spline surfaces where local degrees of freedom are added where required by the data behaviour. The result is a spline surface representing the smooth component and a point set that is not part of the smooth behaviour. Data compression experienced are typically two orders of magnitude. The representation is well suited for GPU accelerated visualization. The spline surface representation also makes it easy to check if new data sets confirm the already existing information, or if deviations are found that must be checked and analysed in more detail, with a possible update of the spline model. So far, the approach has been tried out on lidar and sonar data. However, we see a great potential for testing the approach on sets of multi-spectral image satellite data to represent the data as a compact locally refined spline in a consistent coordinate system.


Aktiv cristin-person

Tor Dokken

  • Tilknyttet:
    ved Mathematics and Cybernetics ved SINTEF AS
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