| 王功兵,陈托.基于数学形态学的声纳主动探测信息净化方法[J].,2021,40(2):308-315 |
| 基于数学形态学的声纳主动探测信息净化方法 |
| An Active Sonar Detection Information Purification AlgorithmBased on Morphological Filter |
| 投稿时间：2020-06-13 修订日期：2021-02-05 |
| 中文摘要: |
| 针对主动声纳探测画面中混响和被动条状干扰问题,分析了被动条状干扰分布特性,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。该算法首先利用形态学方法估计出主动声纳探测图像的干扰背景,然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,该方法有效滤除被动目标条状干扰,同时可对混响背景进行抑制,使探测画面背景均衡清晰。海试数据处理结果表明,该方法有效的抑制了低频被动干扰以及混响背景,有利于目标检测。 |
| 英文摘要: |
| Aiming at the problem of reverberation and passive strip interference in active sonar detection picture. The paper analyzes the distribution character of the passive strip interference, and puts forward an active sonar detection information purification algorithm based on morphological filter. The algorithm estimates the interference background of the picture by morphological, the uses the background for information purification. And it strengthened the picture using morphological filter. The algorithm can remove the reverberation and passive strip interference effectively, and make the background of the picture more distinct. The results of sea trial data processing show that the method can remove the reverberation and passive strip interference effectively, and is beneficial to target detection. |
| DOI：10.11684/j.issn.1000-310X.2021.02.020 |
| 中文关键词: 数学形态学 主动声纳 信息净化 条状干扰 |
| 英文关键词: Morphological Filter Active Sonar Information Purification Strip Interference |
| 基金项目: |
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