Characteristics and sedimentological significance of acoustic anomalies in silty seabed in the Yellow River subaqueous delta

Wang, Fangqi; Song, Yupeng; Liu, Senbo; Changfei, Tao; Lin, Xubo

doi:10.1016/j.csr.2022.104844

Cited by 2 publications

(2 citation statements)

References 22 publications

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“…They still need to do more in-depth research on the factors that affect the physical environment of the ocean [124]. In particular, the theoretical construction of seafloor geo-acoustic models, it is recommended to strengthen the basic scientific research of seabed acoustics based on the existing knowledge system [125]. (b) Cooperate with the multi-sensor.…”

Section: Future Perspectivesmentioning

confidence: 99%

Sonar image intelligent processing in seabed pipeline detection: review and application

Shi,

Cao,

et al. 2024

Meas. Sci. Technol.

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Subsea pipelines rely primarily on imaging sonar for detection and identification. We analyze the imaging principles of side scan sonar, multi-beam sonar, synthetic aperture sonar, seafloor penetrating sonar and forward-looking sonar. We discuss their effectiveness in detecting seabed pipelines, as well as their limitations in image recognition capabilities. As intelligent algorithms have become increasingly important in the field of image processing, we review the sonar image intelligent detection and recognition algorithms in the past six years and summarize the internal principles and application effects of classic algorithms such as SIFT (Scale-Invariant Feature Transform), KMA (K-means algorithm), and CFAR (Constant False-Alarm Rate) that currently show good application prospects. Simultaneously, we review the particular strengths exhibited by these algorithms, such as contour feature extraction, image segmentation and clustering, target recognition under background noise, etc. The research on intelligent processing of sonar images opens up a new way to solve the difficult problem of the seabed targets detection and recognition.

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Section: Future Perspectivesmentioning

confidence: 99%

Sonar image intelligent processing in seabed pipeline detection: review and application

Shi,

Cao,

et al. 2024

Meas. Sci. Technol.

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show abstract

“…The rapid advancement of acoustic technology has led to the widespread utilization of sub-bottom profilers in the detection of submarine sediment. These profilers are employed in various applications including submarine geological classification [ [20] , [21] , [22] ], research on submarine disasters [ [23] , [24] , [25] ], and exploration of submarine pipelines [ 26 , 27 ]. This is due to their high accuracy, non-immersibility, real-time data display, portability, ease of operation, strong penetration, and relatively minimal attenuation in liquid [ 28 , 29 ].…”

Section: Introductionmentioning

confidence: 99%

Shallow mud detection algorithm for submarine channels based on improved YOLOv5s

Hou,

Zhang

2024

Heliyon

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Characteristics and sedimentological significance of acoustic anomalies in silty seabed in the Yellow River subaqueous delta

Cited by 2 publications

References 22 publications

Sonar image intelligent processing in seabed pipeline detection: review and application

Sonar image intelligent processing in seabed pipeline detection: review and application

Shallow mud detection algorithm for submarine channels based on improved YOLOv5s

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