With the increasing development of marine resources and underwater operations,sonar image-based underwater target recognition has become a hot research area.This article provides a comprehensive review of the current status and future trends in this field.Initially,the background and significance of sonar image-based underwater target recognition are emphasized,noting that the complexity of the underwater environment and the scarcity of samples increase the task difficulty.Subsequently,typical imaging sonar technologies are delved,including forward-looking sonar,side-scan sonar,synthetic aperture sonar,multibeam echo sounder,interferometric synthetic aperture sonar,and forward-looking 3D sonar.Following that,2D and 3D sonar image-based underwater target recognition methods are systematically examined,the strengths and weaknesses of different algorithms are compared,and methods for the correlated recognition of sonar image sequences are discussed.Finally,the major challenges in the current field and future research directions are summarized,aiming to foster the development of the underwater sonar target recognition field.
关键词
声呐图像目标识别/深度学习/合成孔径声呐/前视三维声呐/目标识别
Key words
Sonar image target recognition/Deep learning/Synthetic aperture sonar/Forward-looking 3D sonar/Target recognition
维普
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