Method for automatically identifying seabed sand wave features based on ODP

Abstract

The invention discloses a method for automatically identifying seabed sand wave features based on an ODP. By means of the method, feature points of ridge lines and valley lines of seabed sand waves are extracted by means of an extreme value derived and judged according to the optimal profile direction of a water depth curve, and used for automatic identification and extraction of a seabed sand wave feature line. By means of the steps of (1) constructing a digital water depth matrix, (2) constructing an optimal direction matrix and (3) extracting the seabed sand wave features, automatic identification of the seabed sand waves is achieved. The method is verified by a multi-beam water depth data test in an actual measurement mode, the correlation coefficient of the seabed sand wave feature automatically identified by the method and the feature line identified by workers is higher than 80 percent, and compared with the traditional method, and the accuracy rate of automatic identification is increased by 30 percent averagely. Furthermore, no setting of a threshold value is needed, so that working efficiency is increased greatly. The method can be applied to automatic identification of other types of submarine topography and land topography, and has important practical application value in aspects of hydrographic surveying and charting, marine geographic information systems, computer graphics, seabed scientific researches and the like.

Description

technical field [0001] The invention relates to the technical fields of seabed topography and landform mapping, ocean surveying and mapping, ocean geographic information system, computer graphics and seabed science. Background technique [0002] Submarine sand wave is a very common marine landform developed on the offshore shelf. The migration and movement of sand wave can characterize the characteristics of the marine sedimentary environment, and may also affect or even hinder human activities, such as the possibility of hollowing out or burying laid submarine pipelines , silting and shallowing the channel port, causing the structure foundation of the wind farm to be unstable, etc., which can cause serious submarine disasters. Therefore, the study of seabed sand waves provides powerful information and support for understanding shallow sea sediment transport and rationally designing and planning ocean engineering. Sand waves have a wave-like shape, and the crests and trough...

AI Technical Summary

Problems solved by technology

[0006] Aiming at the limitations of existing terrain recognition methods that rely heavily on threshold selection and the low recognition rate, the present invention discloses an automatic recognition method for seabed sand wave features based on ODP, specifically a grid-based seabed sand wave feature identification method. Optimally-Directional Profiling method (ODP, Optimally-Directional Profiling method) of wave characteristic lines: First, based on the optimal profile direction of the water depth surface, the derivative is determined and the extremum is determined, so as to extract the feature points of the seabed sand wave ridge line and valley line

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