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Compact Representation of Big Geospatial Data by Locally Refinable Splines

Abstract

The EC fp7 Integrating Project www.iqmulus.eu addresses the representation and processing of big geospatial data in the Cloud. One of the objectives is to address smooth ocean floor and provide LR-spline algorithms for accurate and compact approximation of hundreds of millions of data points acquired by LIDAR. The results provide a platform on which to build IGA solutions for geospatial problems, and a bridge from reverse engineering of human made shapes to IGA.

Category

Academic lecture

Language

English

Affiliation

  • SINTEF Digital / Mathematics and Cybernetics

Presented at

ICIAM 2015 - The 8th International Congress on Industrial and Applied Mathematics (ICIAM)

Place

Beijing

Date

09.08.2015 - 14.08.2015

Organizer

ICIAM og mange kinesiske organisasjoner

Year

2015

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