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Seabed sand wave feature identification method

A feature recognition and image recognition technology, applied in character and pattern recognition, instruments, computer components, etc., can solve problems such as sand wave height and wavelength difference

Active Publication Date: 2021-08-20
OCEAN UNIV OF CHINA
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, the profile method needs to manually determine the profile to be analyzed, and the selection of different profiles will lead to differences in the calculated sand wave height and wavelength

Method used

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  • Seabed sand wave feature identification method
  • Seabed sand wave feature identification method
  • Seabed sand wave feature identification method

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Embodiment 1

[0035] A large number of sand wave landforms are developed in the northern region of the South China Sea. The present invention will be further described below by taking this region as an example and referring to the accompanying drawings. The following examples are only used to illustrate the technical solution of the present invention more clearly, but not to limit the protection scope of the present invention.

[0036] Step 1. There are a large number of seabed sand waves in the northern part of the South China Sea. The bathymetry map of a certain sand wave area in the South China Sea is obtained through actual bathymetry, as shown in figure 1 shown. In order to analyze the sand wave characteristics of this area, the area is divided into small areas with 7 rows and 17 columns, and the sand wave characteristics are analyzed area by area. Wave form see figure 1 upper right corner.

[0037] Step 2. Taking the selected water depth data in row 5 and column 6 (this position is...

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Abstract

The invention discloses a seabed sand wave feature identification method, and relates to the technical field of offshore ocean engineering dynamic geologic and geomorphic environments. The method comprises the following steps: acquiring wave crest lines and wave trough lines of sand waves by utilizing actually measured water depth data and adopting an image identification method, grouping the wave crest lines and the wave trough lines of the sand waves through linear fitting and coordinate transformation, and further automatically acquiring characteristic information of the wave length, the wave height and the like of the sand waves in a large area by utilizing information of the wave crest lines and the wave trough lines of the sand waves. According to the method, the wave crest line and the wave trough line of the large-area seabed sand wave can be automatically identified, classified statistics can be automatically carried out on the wave crest line and the wave trough line of the sand wave, a large amount of sand wave characteristic data is further obtained, basic data is provided for further analyzing the relation among the wave length, the wave height, the water depth, the hydrodynamic force and the like of the sand wave, time and cost are saved, and efficiency is improved.

Description

technical field [0001] The invention relates to the technical field of offshore marine engineering dynamic geology and landform environment, in particular to a method for identifying seabed sand wave landform features. Background technique [0002] Submarine sand wave is a rhythmic and highly active submarine geomorphology, and the crest line of sand wave is usually perpendicular to the main direction of tidal current. As a special form of bed surface, sand waves are widely developed in estuaries, bays, straits, continental shelf slopes and other regions. Submarine sand waves will evolve and migrate under the strong influence of ocean dynamics such as waves, currents, storm surges, and internal waves. Sand wave migration can quickly change the shape of the seabed, causing submarine pipelines to be suspended or buried, resulting in instability of offshore platforms, etc., posing a serious threat to offshore oil and gas pipelines, submarine cables, oil platforms and other off...

Claims

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Application Information

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IPC IPC(8): G06K9/34G06K9/40G06K9/46
CPCG06V10/267G06V10/30G06V10/44
Inventor 王振鲁孟野谢波涛梁丙臣朱友生闫庆勋刘晓磊贾永刚
Owner OCEAN UNIV OF CHINA
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