侧扫声纳目标自动探测研究

• 论文 •

侧扫声纳目标自动探测研究

朱殿尧,卞红雨

哈尔滨工程大学水声工程学院, 哈尔滨 150001

收稿日期:2008-03-07 修回日期:1900-01-01 出版日期:2008-11-20 发布日期:2008-11-20
通讯作者: 卞红雨

Research of Sidescan Sonar Target Auto Detection

ZHU Dian-yao, BIAN Hong-yu

Institute of Underwater Acoustic Engineering, Harbin Engineering University,Harbin 150001,China

Received:2008-03-07 Revised:1900-01-01 Online:2008-11-20 Published:2008-11-20
Contact: BIAN Hong-yu

摘要/Abstract

摘要： 为了解决水声图像因受到噪声、多途、混响的影响,使水声图像特征难以提取的问题，针对海底目标的识别，通过对图像处理算法的研究以及大量的实验分析,给出了侧扫声纳图像目标自动识别的有效方法。其中包括图像的增强、二值化、二值开闭操作、特征提取、特征计算及目标识别等内容。通过对面积特征的提取和计算实现了对水下目标的自动探测。

关键词: 中值滤波, Otsu二值分割, 二值形态学, 二值标记, 侧扫声纳, 目标探测

Abstract: It is difficult to extract the features of underwater acoustic images because of the noise interference, multi-pass, reverberation. A method of target from sidescan sonar image auto detection is summarized by considerable experiments and analysis, including image enhancement, binary, binary opening and binary closing, feature extraction, feature computing and target recognition.

Key words: binary morphology, binary labeling, side scan sonar, target detection, median filter, Otsu binary segmentation

中图分类号:

TP391.41

朱殿尧,卞红雨. 侧扫声纳目标自动探测研究[J]. J4, 2008, 26(06): 0-0.

ZHU Dian-yao, BIAN Hong-yu. Research of Sidescan Sonar Target Auto Detection[J]. J4, 2008, 26(06): 0-0.