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 | Viewed by 765
Special Issue Editors
Interests: underwater image processing; underwater target tracking; integration of detection and communication
Interests: integration of underwater acoustic sensing and communication; array signal processing
Special Issues, Collections and Topics in MDPI journals
Interests: intelligent marine aquaculture; underwater engineering detection; marine organism analysis and identification
Special Issue Information
Dear Colleagues,
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. Dr. Zhenkai Zhang
Prof. Dr. Wentao Shi
Prof. Dr. Miao Yang
Guest Editors
Manuscript Submission Information
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Keywords
- object detection
- target positioning
- object tracking
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