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Underwater Intelligent Detection and Object Recognition Based on Deep Learning

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Navigation and Positioning".

Deadline for manuscript submissions: 31 December 2025

Special Issue Editors


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Guest Editor
Jiangsu University of Science and Technology, Zhenjiang, China
Interests: underwater image processing; underwater target tracking; integration of detection and communication

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Guest Editor
School of Electronic Engineering, Jiangsu Ocean University, Lianyungang, China
Interests: intelligent marine aquaculture; underwater engineering detection; marine organism analysis and identification

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Guest Editor
Ocean Institute/School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, China
Interests: integration of underwater acoustic sensing and communication; array signal processing
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Special Issue Information

Due to its powerful feature extraction ability, deep learning can effectively overcome the interference of complex underwater environments, significantly improving the accuracy and efficiency of object detection and recognition. At the same time, it enhances environmental adaptability and real-time processing capabilities, promoting the transformation of underwater detection from the traditional mode to intelligent autonomous decision-making. Moreover, it facilitates the interdisciplinary integration of multiple disciplines, providing key technical support for fields such as marine resource development, environmental monitoring, and military applications. 

This Special Issue, therefore, aims to showcase original research and review articles on recent advances, technologies, solutions, applications, and new challenges in the field of underwater intelligent detection and object recognition based on deep learning.

Potential topics include but are not limited to the following:

  • Object detection in sonar images;
  • Multi-sensor fusion target positioning;
  • Underwater image enhancement;
  • Video object tracking;
  • Marine organism classification;
  • Recognition of underwater man-made objects;
  • Underwater topographic mapping;
  • Water quality monitoring and assessments.

Prof. Zhenkai Zhang
Prof. Miao Yang
Prof. Dr. Wentao Shi
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Object detection
  • target positioning
  • object tracking

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Published Papers

This special issue is now open for submission.
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