浅地层剖面原始数据中海底反射信号的识别及海底地形的自动提取  

THE RECOGNITION OF THE SEABED REFLECTION SIGNAL AND THE AUTOMATIC PICKUP OF SEABED TOPOGRAPHY FROM THE ORIGINAL DATA OF SUB-BOTTOM PROFILE

作　　者：刘秀娟[1] 高抒[2] 赵铁虎[3] 

机构地区：[1]中国地质大学资源学院,湖北武汉430074 [2]南京大学海岸与海岛开发教育部重点实验室,江苏南京210093 [3]国土资源部青岛海洋地质研究所,山东青岛266071

出　　处：《物探与化探》2009年第5期576-579,共4页Geophysical and Geochemical Exploration

基　　金：国家自然科学基金重点项目(No.40231010)

摘　　要：2004年12月使用浅地层剖面仪GeoChirpⅡ在长江口南港进行了浅地层剖面观测,采集的原始数据反映了声波记录在海底表面存在着振幅的极大值及该记录的信噪比较低。根据声波记录在海底表面的反射特征,首先在剖面图像中确定海底表面所在的采样点范围,然后采用最大振幅法实现海底反射信号的识别及海底地形的自动提取,并对提取出的海底地形进行平滑处理。采用该方法从长江口南港的浅地层剖面原始数据文件中识别了海底反射信号,实现了海底地形的自动提取并把提取出的海底地形和原海底地形进行了比较。结果表明,提取出的海底地形能够较精确地反映原海底表面韵律性的起伏形态,证明了该方法的有效性。Data acquired in December 2004 by GeoChirp Ⅱ sub-bottom profiler in the South Channel of the Changjiang Estuary displays maximum amplitude round the seafloor and small signal-noise ratio of the acoustic record. In terms of the features of acoustic record reflected by the seafloor, the sampling area including the seabed is determined in the figure of the profile. Then the method of amplitude is adopted to implement the recognition of the seabed reflection signal and the automatic pickup of seabed topography. Finally, the seafloor picked up is smoothed. The method mentioned above was used to process the data acquired from the South Channel of the Changjiang Estuary. Compared with the original seabed topography, the seafloor picked up automatically demonstrates the rhythm of undulate seafloor, indicating that this method is effective in the recognition of the seabed reflection signal and the automatic pickup of seabed topography.

关 键 词：海底地形 初至 最大振幅 浅地层剖面 长江口 

分 类 号：P631.4[天文地球—地质矿产勘探]