赵海旭,吴培荣,王小雯,聂良春.一种基于关联处理的声呐图像去噪技术[J].声学技术,2016,35(6):571~574 |
一种基于关联处理的声呐图像去噪技术 |
Sonar image denoising technique based on relevancy processing |
投稿时间:2015-11-01 修订日期:2016-01-11 |
DOI:10.16300/j.cnki.1000-3630.2016.06.014 |
中文关键词: 固定安装声呐 时域连续性 空间邻域积分 杂波抑制 图像关联 |
英文关键词: fixed installation sonar temporal continuity spatial neighborhood integral clutter suppression image relevancy |
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中文摘要: |
为了改善声呐图像中存在大量杂波而导致目标跟踪困难,设备虚警率高的缺点,提出一种图像关联降噪算法。首先利用目标特性对静止目标进行剔除,之后利用目标运动的持续性和目标回波在连续多帧图像中的空间位置关联性,对随机噪声进行进一步滤除。仿真和试验数据验证,所提出的算法对于背景比较稳定的图像,降噪效率不低于95%。 |
英文摘要: |
In order to solve the difficulty of tracking moving targets and the high false alarm rate resulting from the presence of clutter sonar image, a clutter suppression algorithm is proposed in this paper to remove the static target echo and meantime to filter the random noise by using the target's temporal continuity and space relevancy. The algorithm is verified by simulation and experimental data processing, the noise reduction efficiency is no less than 95% for the image with stable background. |
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