摘要
海底气泡羽状流被公认为指示海底存在天然气水合物的有效标志之一,因此实现对海底气泡羽状流的高效探测和准确分析,具有重大的战略意义。利用羽流气泡与海水声阻抗存在差异的特性,发现并提取了多波束声呐图像中水柱影像上的声学耀斑,为海底羽流探测提供了新的思路。结合最短距离和中值滤波对含有羽流耀斑的水柱影像进行处理,从而实现羽流目标反向散射强度与背景环境噪声分离,同时采用走航式观测的方法获得测区的三维数据,通过研究羽状流声反射回波强度阈值,设计一种基于3D搜索单元的羽流气泡三维滤波器,实现了墨西哥湾三维羽流数据的提取。
The submarine bubble plume is recognized as one of the effective signs that indicated the presence of natural gas hydrates on the seabed.Thus,it is of great strategic significance to achieve efficient detection and accurate analysis of the submarine bubble plume.This paper utilize the difference of acoustic impedance between bubble plume and seawater to find and extract the acoustic flare on the water column image in the multi - beam sonar image,which provides a new idea for seafloor plume detection.First,this paper combines the shortest distance and median filtering to process the water column image containing the plume flare,and then the separation of the backscattering intensity of the plume target from the background ambient noise is achieved.At the same time,the three - dimensional data of the survey area is obtained by the method of voyage observation.And then,by studying the acoustic echo intensity threshold of plume,a three - dimensional filter based on three - dimensional search unit is designed.Finally,this method implements the extraction of three - dimensional plume data in the Gulf of Mexico.
作者
龙睿捷
王胜平
LONG Ruijie;WANG Shengping(Faculty of Geomatics,East China University of Technology, 330013,Nanchang ,PRC)
出处
《江西科学》
2019年第4期615-620,631,共7页
Jiangxi Science
基金
江苏省测绘地理信息科研项目(编号:JSCHKY201915)
关键词
水柱影像
羽流探测
噪声分离
三维提取
water column image
plume detection
noise separation
three - dimensional extraction
