Underwater Intelligent Detection and Object Recognition Based on Deep Learning

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

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