Artificial Intelligence Applications in Underwater Sonar Images

Dear Colleagues,

The processing of underwater sonar image data has always been a fundamental technology for ocean exploration. In recent years, there has been a growing use of artificial intelligence techniques for analyzing sonar images. Artificial intelligence enhances the accuracy and speed of detecting underwater targets in underwater sonar images and improves the amount of information obtained from the underwater sonar image.

The development of artificial intelligence technology brings breakthroughs and challenges to the technology of underwater sonar image perception. This Special Issue aims to explore the application of AI technology in underwater sonar imagery to effectively address real-world problems and advance the development of AI in the underwater sonar image industry.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

• Detection of targets in underwater sonar images by deep learning methods.
• Image segmentation of seabed geomorphological terrain using artificial intelligence techniques.
• Innovative artificial intelligence models that can address the full-stack problem of underwater sonar images.
• Acquisition and production of underwater sonar image datasets.
• Proposing a new paradigm for artificial intelligence techniques to solve the difficult problem of acquiring underwater sonar images.
• New concepts and advanced sonar detection equipment for underwater sonar images.
• Underwater simultaneous localization and mapping based on sonar information perception.
• Underwater acoustic radiation and scattering.

We look forward to receiving your contributions.

Dr. Feihu Zhang
Dr. Xue Du
Dr. Zhixiong Gong
Guest Editors

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