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Intelligent Detection and Recognition of Seabed Targets in Side-Scan Sonar Images

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High-resolution Seafloor Survey and Applications

Abstract

Side-scan sonar is widely used in marine surveying, underwater search and rescue, mine detection, pipeline survey and other fields. At present, artificial methods are used to recognize and study seabed targets. They are inefficient and unreliable, and rely heavily on the level of knowledge of researchers. Based on actual need, the research status of seabed target detection and recognition is systematically discussed in this chapter, a feasible seabed target detection and recognition method based on artificial intelligence is proposed, and an experimental application is developed.

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Authors and Affiliations

  1. Key Laboratory of Submarine Geosciences, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou, Zhejiang, China

    Ziyin Wu & Yong Tang

  2. College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao, Shandong, China

    Fanlin Yang

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  1. Ziyin Wu
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  2. Fanlin Yang
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  3. Yong Tang
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Correspondence to Ziyin Wu .

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Wu, Z., Yang, F., Tang, Y. (2021). Intelligent Detection and Recognition of Seabed Targets in Side-Scan Sonar Images. In: High-resolution Seafloor Survey and Applications. Springer, Singapore. https://doi.org/10.1007/978-981-15-9750-3_9

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