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Three-dimensional Probability Density Classification Method for Submarine Acoustic Substrate

A technology of probability density and classification method, applied in the field of three-dimensional probability density classification of seabed acoustic substrate, can solve the problems of ignoring the statistical characteristics of backscattering intensity and not taking into account the correlation of incidence angles, etc.

Active Publication Date: 2020-10-27
SECOND INST OF OCEANOGRAPHY MNR
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Problems solved by technology

These two methods have their own advantages and disadvantages. The first method highlights the change information of the average backscattering intensity with the incident angle, ignoring the statistical characteristics of the backscattering intensity; the second method reflects the statistical characteristics of the backscattering intensity , but does not take into account the dependence on the incident angle

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  • Three-dimensional Probability Density Classification Method for Submarine Acoustic Substrate
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  • Three-dimensional Probability Density Classification Method for Submarine Acoustic Substrate

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Embodiment Construction

[0041] The present invention will be further elaborated below in conjunction with the accompanying drawings.

[0042] 1. Three-dimensional probability density classification method of seabed acoustic bottom

[0043]Generally speaking, multi-beam adopts "beam-intensity" to record backscatter intensity data, that is, multiple backscatter intensity data are recorded in one beam. figure 1 It is the 1ping backscatter intensity data measured by the Simrad EM3000 multi-beam bathymetry system. As the beam incident angle increases, the number of beam sampling points increases. Due to the random characteristics of the backscatter intensity, at the same incident angle, the backscatter intensity The magnitude of the change is large, which leads to the fact that even if the multi-ping backscatter intensity is expressed in the form of point cloud ( figure 2 ), it is also difficult to see its regularity information.

[0044] In order to visually display the trend information and distribut...

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Abstract

The invention discloses a 3D probability density classification method of seabed acoustic sediment. Change information of the average reverse scattering intensity with incidence angle and probabilitydensity distribution are taken into integrated consideration, and a 3D probability density graph is drafted. According to a calculation result, the method can be used to represent the number of different seabed sediment types in a multi-beam strip coverage area visually, determine the boundary between different seabed sediment types effectively, and identify the seabed sediment types rapidly.

Description

technical field [0001] The invention relates to a three-dimensional probability density classification method of seabed acoustic bottom. Background technique [0002] The multi-beam sounding system has realized the transformation from "point" and "line" measurement to strip-type, full-coverage, and "area" measurement, and has incomparable advantages in accuracy and efficiency over traditional single-beam sounding systems. As the mainstream product of current seabed topographic survey, the multi-beam bathymetry system also records backscatter intensity data while acquiring water depth data. For the processing of multi-beam bathymetric data, after nearly 30 years of development, it has become increasingly mature, and a relatively complete theoretical system and data processing methods have been formed. As for the data processing and application of backscatter intensity, although scholars at home and abroad have carried out relevant research and achieved certain research resul...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S15/88G01N29/04G06F17/18
CPCG01N29/04G01S15/88G06F17/18
Inventor 金绍华李家彪吴自银边刚崔杨赵荻能李守军尚继宏
Owner SECOND INST OF OCEANOGRAPHY MNR