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。
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 morphological 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.
作者
王功兵
陈托
WANG Gongbing;CHEN Tuo(Science and Technology on Sonar Laboratory,Hangzhou Applied Research Institute,Hangzhou 310023,China)
出处
《应用声学》
CSCD
北大核心
2021年第2期308-315,共8页
Journal of Applied Acoustics
关键词
数学形态学
主动声呐
信息净化
条状干扰
Morphological filter
Active sonar
Information purification
Strip interference
