%0 Journal Article
%T Multibeam echosounder data cleaning through a hierarchic adaptive and robust local surfacing
%+ OSM
%A Debese, Nathalie
%A Moitié, Roderic
%A Seube, Nicolas
%Z WOS
%< avec comité de lecture
%@ 0098-3004
%J Computers & Geosciences
%I Elsevier
%V 46
%P 330-339
%8 2012-09-01
%D 2012
%R 10.1016/j.cageo.2012.01.012
%K Multibeam echosounder
%K Outliers
%K Data cleaning
%K Robust statistical estimation
%K Multi resolution
%Z Sciences of the Universe [physics]/Earth Sciences/OceanographyJournal articles
%X Multibeam echo sounders (MBES) datasets generally contain sporadic outlier points. The huge volumes of MBES datasets in a hydrographic framework require the use of semi-automatic techniques. In very shallow waters depth, data cleaning becomes a challenging task when potential dangers to navigation have to be carefully checked. The aim of our paper is to attempt this goal by combining two well-known techniques. The seafloor is constructed as an assemblage of surface elements with the help of a robust statistical approach. The local parameters model is a priori chosen, its scale is driven through a quadtree descending approach using subdivision rules based on both statistical and spatio-temporal inferences. Our multi resolution approach provides, with the algorithm outputs, a classification map that notes areas of concern.
%G English
%L hal-00672672
%U https://hal-ensta-bretagne.archives-ouvertes.fr/hal-00672672
%~ ENSTA-BRETAGNE
%~ ENSTA-BRETAGNE-STIC
%~ GIP-BE