Side-scan sonar seabed sand wave detection method based on multi-scale convolution and pooling strategy

A side-scan sonar and detection method technology, applied in the field of side-scan sonar submarine sand wave detection, can solve problems such as limiting context flexibility, interfering with seabed sand wave identification, and unfavorable extraction
CN113516626APending Publication Date: 2021-10-19OCEAN UNIV OF CHINA
0 Cites 1 Cited by

Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
OCEAN UNIV OF CHINA
Publication Date
2021-10-19

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

Abstract

The present invention provides a side-scan sonar seabed sand wave detection method based on the multi-scale convolution and pooling strategy, seabed sand wave identification is carried out based on deep learning, waveform matching analysis is combined, and the side-scan sonar seabed sand wave detection method is applied to seabed sand wave detection. Deep semantic information of a seabed sand wave image is extracted based on an accumulative learning bilateral branch network, and a pyramid convolution module and strip pooling are introduced according to characteristics of seabed sand waves to carry out feature adaptive optimization and global information enhancement, so that the problems of unbalanced number distribution of seabed sand wave samples, diverse morphological characteristics of sand waves in a complex seabed environment and serious interference of ocean reverberation noise are solved, the seabed sand waves are positioned by taking echo intensity as a research object through waveform matching, and the morphological characteristics such as wavelength, wave height and asymmetric index of the seabed sand waves and the migration trend of the seabed sand waves are analyzed. Therefore, a foundation is laid for further investigation and analysis of seabed sand waves.
Need to check novelty before this filing date? Find Prior Art

Description

technical field

[0001] The invention specifically relates to a side-scan sonar seabed sand wave detection method based on a multi-scale convolution and pooling strategy, and belongs to the technical fields of marine intelligent information processing and underwater target detection and recognition. Background technique

[0002] Marine exploration is mainly used to detect various geophysical field characteristics, geological structures and mineral resources on the seabed, and to detect the distribution characteristics of seabed placer and sand waves. Among them, seabed sand wave is a landform that is generally distributed in various sea areas formed under the action of various environmental factors, such as sediment particle size, tidal characteristics and related residual currents. Seabed sand wave identification is an important way to investigate seabed sediments, and it is an important research content in the fields of marine sediment bathymetry, marine geomorphology, mari...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More