基于声呐图像的水下目标识别研究综述

Review on Underwater Target Recognition Based on Sonar Image

摘要:

水下目标识别是水下无人探测的一项核心技术，在军事和民用领域都有重要的应用。根据当前的水下目标识别研究进展，全面阐述基于声呐图像的水下目标识别原理和方法，对总结研究现状、发现存在的问题以及挖掘潜在的研究方向具有积极意义。针对基于声呐图像的水下目标识别问题，论述了图像去噪、 图像分割以及水下目标识别等方面的主要进展，阐述了基于深度学习实现声呐图像目标识别的最新技术发展现状。通过对水下目标处理过程的讨论和分析，指出基于声呐图像的水下目标识别算法中亟需解决的关键科学问题及可能的解决思路，并对该领域的未来发展方向做了进一步的展望。

Abstract:

Underwater target recognition is a core technology of underwater unmanned detection，which has important applications in military and civil areas. According to the current research progress of underwater target recognition，the principles and methods of underwater target recognition based on sonar images have been comprehensively reviewed in this paper，which has positive significance for summarizing the research status， discovering the existing problems and exploring the potential research directions. Aiming at the problems of underwater target recognition based on sonar image，the main development in image denoising，image segmentation and underwater target recognition have been discussed，and the latest technology development status quo of sonar image target recognition based on deep learning has been expounded. Through the discussion and analysis of the underwater target processing process，the key scientific problems and possible solutions in the underwater target recognition algorithm that need to be resolved immediately based on sonar images are pointed out，and the future development direction of this field is further prospected.