Contributions to Books:

P Bottelier, C. Briese, N Hennis, R. Lindenbergh, N. Pfeifer:
"Distinguishing features from outliers in automatic Kriging-based filtering of MBES data: a comparative study";
in: "Geostatistics for Environmental Applications", P Renard, H Demougeot-Renard, R Froidevaux (ed.); Springer, 2005, ISBN: 3-540-26533-3, 403 - 414.

English abstract:
Multi beam echo sounding is the state of the art way for surveying sea bottoms. The elevation of the sea floor is obtained strip wise by measuring the time it akes for sound signals, emitted simultaneously in different directions, to travel to the sea bottom and back. In this paper we compare various ways of filtering erroneous soundings from MBES data sets, all based on the interpolation method Kriging. This research was initiated because of the problems that a classic filtering method had with distinguishing blunders from points belonging to features, like pipelines. Fortunately, methods developed for filtering laser altimetry data do not exhibit this unwanted behavior.

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Created from the Publication Database of the Vienna University of Technology.