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Automatic filtering of far outliers in multibeam echosounding dataset using robust detection algorithms

Mahmud, Mohd. Razali and Mohd. Yusof, Othman (2006) Automatic filtering of far outliers in multibeam echosounding dataset using robust detection algorithms. In: Hydrography Survey: Current Trends, Techniques and Applications. Penerbit UTM, Johor , 199 - 213. ISBN 978-983-52-0581-1

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Abstract

Rapid seafloor mapping is feasible with the existence of multibeam sonar systems. The multibeam echosounder (MBES) has improved survey technique to determine bathymetry of seabed with the ability to provide a high resolution data collection and full bottom coverage. Data being collected during survey operations can easily be more that 10 6 depth measurements per hour leading to over 10 7 per survey (Capena et al., 1999). This case is even worse in shallow water area, where high density of data is produced from a multibeam survey in a more spatially dense and more uniformly distributed over the survey area.

Item Type:Book Section
Subjects:Unspecified
Divisions:Geoinformation Science And Engineering (Formerly known)
ID Code:25660
Deposited By: Liza Porijo
Deposited On:23 May 2012 07:40
Last Modified:24 May 2012 00:35

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