基于声呐图像的水下目标检测、识别与跟踪研究综述
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作者单位:

(大连海事大学船舶电气工程学院,辽宁大连116026)

作者简介:

郭戈(1972-), 男, 教授, 博士生导师, 从事智能交通系统、智慧海洋监测网络等研究;王兴凯(1993-), 男, 博士生, 从事智慧海洋监测网络的研究.

通讯作者:

E-mail: geguo@yeah.net

中图分类号:

TP27

基金项目:

国家自然科学基金项目(61273107,61573077).


Review on underwater target detection, recognition and tracking based on sonar image
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(Institute of Ship Electrical and Engineering,Dalian Maritime University,Dalian 116026,China)

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    摘要:

    水下目标检测、识别和跟踪是具有重要意义的热点研究问题,在军事和民用领域都有重要的应用.鉴于此,对基于声呐图像的水下目标检测、识别和跟踪原理、方法以及典型算法的研究进展进行全面阐述.首先论述基于声呐图像的水下目标检测、图像去噪、图像分割等方面的主要进展以及典型算法和算法扩展;然后对水下目标声呐图像识别中的特征提取、特征分类方法和主要技术难点进行讨论;最后阐述基于水声信号处理和声呐图像信息的水下目标跟踪方法和算法.通过对水下目标处理过程各个过程的深入讨论和对比分析,指出基于声呐图像的水下目标检测、识别和跟踪中急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进一步的展望.

    Abstract:

    Underwater target detection, recognition and tracking are most important hot research questions, which have important application in military and civil fields. This paper aims at giving a comprehensive review of advances in the principles, methods and typical algorithms of sonar-image- based underwater object detection, recognition and tracking. We first make a thorough description of the main development, typical algorithms and their extensions of underwater object detection, sonar image denoising and segmentation. Then, the main methods and technical difficulties in feature extraction and feature classification in underwater object sonar image recognition are discussed. Finally, a detailed discussion of underwater object tracking methods and algorithms based on acoustic signal processing and sonar image information is given. By the indepth discussion of every underwater target dealing process, analysis and comparison, some key scientific issues and possible solutions of sonar-image-based underwater object detection, recognition and tracking are summarized, which is followed by a forecast of future development directions in this field.

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郭戈,王兴凯,徐慧朴.基于声呐图像的水下目标检测、识别与跟踪研究综述[J].控制与决策,2018,33(5):906-922

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  • 在线发布日期: 2018-04-28
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