Journal of Jilin University(Engineering and Technology Edition) ›› 2025, Vol. 55 ›› Issue (4): 1163-1175.doi: 10.13229/j.cnki.jdxbgxb.20240002

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Review of taskdriven imaging sonar for underwater target recognition approaches

Wei-zhi NIE(),Fei YIN,Yi-shan SU()   

  1. School of Electrical Automation and Information Engineering,Tianjin University,Tianjin 300072,China
  • Received:2024-01-02 Online:2025-04-01 Published:2025-06-19
  • Contact: Yi-shan SU E-mail:weizhinie@tju.edu.cn;yishan.su@tju.edu.cn

Abstract:

The target recognition algorithms and the major problems solved in image classification, detection, and segmentation tasks for side-scan sonar, synthetic aperture sonar, and forward-looking sonar were described. By combining the imaging characteristics and application scenarios of different sonars, the strengths and weaknesses of the target recognition algorithms under the corresponding image processing tasks of the above imaging sonar and the key issues that still need to be addressed were analyzed and summarized, and its future development direction was also looked forward to.

Key words: information processing technology, underwater target recognition, imaging sonar, image processing

CLC Number: 

  • TN911.73

Fig.1

Imaging schematic of SSS"

Fig.2

Major works in classification algorithms based on SSS images"

Fig.3

Major works in detection algorithms based on SSS images"

Fig.4

Major works in segmentation algorithms based on SSS images"

Fig.5

Imaging schematic of SAS"

Fig.6

Major works in classification algorithms based on SAS images"

Fig.7

Major works in detection algorithms based on SAS images"

Fig.8

Major works in segmentation algorithms based on SAS images"

Fig.9

Imaging schematic of FLS"

Fig.10

Major works in classification algorithms based on FLS images"

Fig.11

Major works in detection algorithms based on FLS images"

Fig.12

Major works in segmentation algorithms based on FLS images"

Fig.13

Comparison of similarities and differences in imaging characteristics and application scenarios of three types of imaging sonar"

Fig.14

Summary of characteristics of underwater target recognition algorithms for three typesof imaging sonar corresponding to image processing tasks"

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