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Deconfliction and Surface Generation from Bathymetry Data Using LR B-splines

Abstract

A set of bathymetry point clouds acquired by different measurement techniques at different times, having different accuracy and varying patterns of points, are approximated by an LR B-spline surface. The aim is to represent the sea bottom with good accuracy and at the same time reduce the data size considerably. In this process the point clouds must be cleaned by selecting the “best” points for surface generation. This cleaning process is called deconfliction, and we use a rough approximation of the combined point clouds as a reference surface to select a consistent set of points. The reference surface is updated using only the selected points to create an accurate approximation. LR B-splines is the selected surface format due to its suitability for adaptive refinement and approximation, and its ability to represent local detail without a global increase in the data size of the surface.

Category

Academic chapter/article/Conference paper

Client

  • EC/FP7 / 318787

Language

English

Author(s)

Affiliation

  • SINTEF Digital / Mathematics and Cybernetics
  • HR Wallingford

Year

2017

Publisher

Springer Publishing Company

Book

Mathematical Methods for Curves and Surfaces: 9th International Conference, MMCS 2016 Tønsberg, Norway, June 23-28, 2016 Revised Selected Papers

Issue

10521

ISBN

978-3-319-67885-6

Page(s)

270 - 295

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