A fast generalization method of multibeam echo soundings for nautical charting
Tóm tắt
Most current multibeam echo soundings (MBES) generalization algorithms focus on decreasing the data density and navigational purposes. However, their computational efficiency is not satisfactory for massive amounts of data. Additionally, these methods fail to consider how to harmonize soundings generalized from MBES and existing chart soundings. This paper presents an MBES generalization algorithm with chart soundings as a guiding subset that uses MBES datasets as source data and existing nautical chart soundings as control guidance to generalize soundings. After preliminarily selecting shallow soundings, deep soundings, and background soundings from MBES data, the soundings are then generalized with the constraint of chart soundings. Experiments are implemented with a real dataset and the results are compared with those of soundings generalization algorithms without the guidance of chart soundings. The results show that the proposed algorithm has higher computational efficiency and respectable soundings selection constraints; moreover, the seafloor terrain characteristics are accurately reflected, especially for regions that lack structural changes in topography.
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