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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

Lecture

Language

English

Affiliation

  • SINTEF Digital / Mathematics and Cybernetics

Presented at

III International Conference on Isogeometric Analysis

Place

Trondheim

Date

01.06.2015 - 03.06.2015

Organizer

CIMNE Congress Bureau

Year

2015

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