It is unrealistic to expect that any single algorithm for pre-filtering Multibeam Echosounder data will be able to detect all of the “noise" in such data all of the time. This paper therefore presents a scheme for fusing the results of many pre-filtering sub-algorithms in order to form one, significantly more robust, meta-algorithm. This principle is illustrated on the problem of consistency detection in regions of sloping bathymetry. We show that the meta-algorithm is more robust, adapts dynamically to sub-algorithm performance, and is consistent with operator assessment of the data. The meta-algorithm is called the Multi-Algorithm Swath Consistency Detector.
Journal or Conference Title
International Hydrographic Review
8, No. 1
Lemmers, Amsterdam, The Netherlands
International Hydrographic Organization
Calder, Brian R., "Multi-algorithm Swath Consistency Detection for Multibeam Echosounder Data" (2007). International Hydrographic Review. 1035.