Image mining applications for underwater environment management-A review and research agenda
Open accessAbstract
The underwater environment is gaining importance due to its role in enhancing the economy of the world and improving relationships between different countries across the world. There are several applications for underwater imaging, which are affected by the underwater environment. The review and bibliometric analysis provide a systematic understanding of various applications and problems faced by different underwater imaging techniques. It provides potential directions for future research as it provides an insight into the efficiency and sustainability of the proposed solutions for underwater imaging problems. The review consists of identifying relevant published articles from SCOPUS. The literature review included papers from underwater image denoising, detection, recognition, restoration, generation, dehazing, deblurring, quality assessment, classification, compression, and image processing. Analysis of network, recognition of pivot research topics, correlation and pattern combinations of accepted and recent research were identified with the help of bibliometric software. It also helped in identifying key authors, journals, influential institutions, and impactful keywords. The systematic reviews and bibliometric analysis exhibits and recognize the current and potential underwater image processing research interest for the future. The review and bibliometric analysis are considered relevant as they exhibit an organized and systematic underwater image processing study which could help in future research. A research framework is proposed for systematically organizing the main underwater techniques and their relationships to maximize the benefits offered in different underwater imaging fields. The study will help researchers and engineers in developing practical strategic plans for underwater environment cleaning operations.
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AI technologies such as deep learning together with big data analytics have been used for image mining for underwater environment management and air quality management.
“AI technologies such as deep learning together with big data analytics have been used for image mining for underwater environment management and air quality management (Kushwaha et al., 2021;Nair et al., 2021).”
From Climate change and COP26: Are digital technologies and information management part of the problem or the solution? An editorial reflection and call to action (2022) · cites this paper as Nair et al., 2021
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Flagged first, then by citations
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Cited by
Sorted by citations
Dwivedi, Y. K., Hughes, L., Kar, A. K., Baabdullah, A. M., Grover, P., Abbas, R., Andreini, D., Abumoghli, I., Barlette, Y., Bunker, D., et al. (2022) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2021.102456 · Cited by 761 · see citing works
- Authors
- Nair, R. S., Agrawal, R., Domnic, S., & Kumar, A.
- Affiliations
- National Institute of Technology Tiruchirappalli (IN)
- Venue
- International Journal of Information Management Data Insights
- Publisher
- Elsevier BV
- Published
- 2021-11
- Volume
- 1
- Issue
- 2
- Pages
- 100023
- ISSN
- 2667-0968 (ISSN-L)
- OpenAlex
- W3177021769
- Cited by
- 34
- References
- 170
- Citations by year
- 2026: 1 · 2025: 5 · 2024: 6 · 2023: 7 · 2022: 11 · 2021: 4
- FWCI
- 2.52
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- International Journal of Information Management Data Insights (publishedVersion, cc-by-nc-nd)
- London Met Repository (London Metropolitan University) (acceptedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image Enhancement Techniques
- Physical Sciences › Engineering › Ocean Engineering › Underwater Vehicles and Communication Systems
- Physical Sciences › Engineering › Media Technology › Image Processing Techniques and Applications
- Keywords
- underwater image processing, underwater imaging, underwater image denoising, underwater image restoration, oceanographic monitoring
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