摘要
针对基于线阵合成孔径技术的三维成像声纳缺乏有效后处理与可视化方法的问题,提出一个适用于三维成像声纳图像后处理与可视化方案。鉴于水体和地层2种介质具有不同的声学特性,使用组合算法分离水体和地层数据,利用基于边缘梯度均值约束的三维自适应区域生长算法分别对水底和地层目标进行检测,融合水体和地层数据,采用光线投射法进行三维实验数据的可视化。湖试和近海海试结果表明,该方案能够适应声成像中水体与地层的不同特点,有效检测目标,提高声纳图像的表现能力。
In view of the absence of post-processing and visualization method for three-dimension imaging sonar based on line array synthetic aperture,an effective post-processing and 3D visualization scheme is proposed in this paper.Considering the difference of acoustic characteristics between water and seafloor,the two sets of data are separated using merged image processing algorithms,followed by a modified 3D adaptive region growing algorithm based on the mean of edge gradient to detect the targets in them.The processed data are combined and visualized using the ray casting algorithm.Experimental result in lake and near sea demonstrates the effectiveness and robustness of the proposed scheme.
出处
《计算机工程》
CAS
CSCD
北大核心
2011年第22期196-197,共2页
Computer Engineering
基金
国家自然科学基金资助项目(60772092)
国家安全重大基础研究基金资助项目(5132103ZZT14B)
关键词
三维成像声纳
后处理方案
图像增强
目标检测
三维可视化
3D imaging sonar
post-processing scheme
image enhancement
targets detection
3D visualization
