Page 140 - 《应用声学》2021年第2期

第 40 卷 第 2 期 Vol. 40, No. 2
2021 年 3 月 Journal of Applied Acoustics March, 2021

⋄ 研究报告 ⋄

基于数学形态学的主动声呐探测信息净化方法

王功兵 † 陈 托

(杭州应用声学研究所声呐技术重点实验室 杭州 310023)

摘要：针对主动声呐探测画面中混响和被动条状干扰问题，提出了一种基于数学形态学滤波的主动探测信息
净化方法。该算法通过研究数学形态学滤波器的频响特性，构造与主动声呐探测画面中目标频率特性匹配的
结构元素，然后对主动声呐探测画面进行形态学滤波处理，估计主动声呐探测画面的干扰背景，最后进行探测
信息净化，并利用形态学滤波对净化后图像进行增强。海试数据处理结果表明，该文方法能够有效抑制低频被
动条状干扰以及混响背景，使点状目标在图像中表现更为明显，更有利于目标检测。
关键词：数学形态学；主动声呐；信息净化；条状干扰
中图法分类号: TN911.73 文献标识码: A 文章编号: 1000-310X(2021)02-0308-08
DOI: 10.11684/j.issn.1000-310X.2021.02.020

An active sonar detection information purification algorithm based on
morphological filter

WANG Gongbing CHEN Tuo

(Science and Technology on Sonar Laboratory, Hangzhou Applied Research Institute, Hangzhou 310023, China)

Abstract: Aiming at the problem of reverberation and passive strip interference in active sonar detection
picture, the paper puts forward an active sonar detection information purification algorithm based on mor-
phological filter. The algorithm constructs the structure elements matching the frequency characteristics of
target in active sonar detection image, by studying the frequency response characteristics of mathematical
morphology filter. Then, the active sonar detection image is processed by morphological filtering to estimate
the interference background of the image. Finally, the detection information is purified, and the purified image
is enhanced by morphological filtering. The results of sea trial data processing show that the proposed method
can effectively suppress low-frequency passive interference and reverberation background. And it makes the
performance of point target more obvious in the image and is more conducive to target detection.
Keywords: Morphological filter; Active sonar; Information purification; Strip interference

2020-06-13 收稿; 2020-10-21 定稿
作者简介: 王功兵 (1990– ), 男, 山东泰安人, 硕士, 研究方向: 声呐信号处理。
† 通信作者 E-mail: wgb1990@163.com