Scientific mapping and bibliometric analysis of research advancements in underwater image enhancement

Huang, Yong; Chen, Renzhang

doi:10.1016/j.jvcir.2024.104166

Journal of Visual Communication and Image Representation

2024

DOI: 10.1016/j.jvcir.2024.104166

|View full text |Cite

Scientific mapping and bibliometric analysis of research advancements in underwater image enhancement

Yong Huang,

Renzhang Chen

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 69 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Detection method for underwater dock joints: underwater sonar imaging based on 3D technology

Xiao

2024

J. meas. eng.

View full text Add to dashboard Cite

In the detection of surface defects in underwater structures, traditional methods using manual diving are inefficient. Equipment such as underwater high-definition cameras and underwater laser imaging face significant signal attenuation in deep and turbid environments, and the information contained in two-dimensional sonar images is limited, making it difficult to meet accuracy requirements. To address these shortcomings, a detection method based on sonar imaging for underwater docks using three-dimensional (3D) reconstruction is proposed. This method first reduces environmental interference through preprocessing. Then, emit sound waves towards the underwater target and receive the returning signals, which are converted into digital signals. Next, perform 3D modeling and visualization. Finally, a detailed analysis of the 3D images is conducted to identify, analyze, and assess the severity and distribution patterns of defects. The experimental results show that the 3D scanning sonar imaging detection technology can effectively detect targets and accurately identify misalignment in caisson joints, meeting practical application requirements.

show abstract

Detection method for underwater dock joints: underwater sonar imaging based on 3D technology

Xiao

2024

J. meas. eng.

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Scientific mapping and bibliometric analysis of research advancements in underwater image enhancement

Cited by 1 publication

References 69 publications

Detection method for underwater dock joints: underwater sonar imaging based on 3D technology

Detection method for underwater dock joints: underwater sonar imaging based on 3D technology

Contact Info

Product

Resources

About