多波束水体影像中噪声干扰的削弱方法研究

Reduction of Noise Interference in Multibeam Water Column Image

  • 摘要: 多波束水体影像在水下目标探测和识别方面具有较高的应用价值,但受波束旁瓣效应、第三方声呐干扰及复杂的海洋环境噪声等影响,水柱影像中噪声严重,给图像质量和水下目标探测及识别带来较大困难。在分析噪声来源及成因的基础上,根据其空间分布特点,提出了基于强度分布规律的异常"弧圈"检测与消除方法和基于图像交集和差集运算的背景噪声削弱方法,实现了水体影像中噪声的综合抑制,保留目标的同时改善了水体影像的质量。

     

    Abstract: Multibeam water column image (WCI) has high application value in underwater target detection and recognition. However, it is often affected by receiver beam side lobe, the third-party sonar interference, and complex marine environment noise, such as marine organism, suspended solids, microbubbles and so on, which brings a great impact on its applications. Therefore, this paper proposes a comprehensive method to suppress those interferences in WCI. Firstly, the origin and mechanism of the interferences have been fully analyzed. In accordance with the characteristics of spatial distribution of those interferences, an abnormal "arc" detection and elimination method based on the features of intensity distribution is proposed, which aims to suppress the abnormal "arc" mainly caused by receiver beam side lobe. In this process, a target remaining principle is set to remain the target fragments existing in the abnormal "arc". Secondly, a background noise reduction method based on image intersection and difference set is proposed, which aims to suppress the background noise mainly caused by marine organism and suspended solids. Combined these two methods, a comprehensive method is obtained. The experimental results show that these methods can suppress the interference in WCI efficiently. The quality of the WCI is highly improved and the targets in WCI are remained.

     

/

返回文章
返回