摘要
2009年4月中阿两国科研人员在阿曼沿海使用侧扫声纳、浅地层剖面仪等探测设备对相应海区开展了沉船探测工作。本文所做的主要工作是对浅地层剖面仪探测数据资料的处理研究。首先简单介绍了浅地层剖面仪工作的基本原理;针对海试所得浅剖图像噪声大、分层不清晰的缺点,利用中值滤波等方法去除图像中的噪声,并通过对其进行边缘处理来提高图像的清晰度以得到更精确地分层结构;然后根据浅剖图像特征推测相应的地层类别;最后综合分析处理后的大量数据,根据声学特征初步描述出该海域浅地层结构情况并指出了下一步的研究方向。
Scientists from Oman and China carried out the first Oman off-shore survey in April 2009,Side-scan Sonar and Sub-bottom Profiler were used in this survey,and the sub-bottom profile data of the survey is studied in this paper.The basic working principle of sub-bottom profiler is briefly introduced.Since the data directly acquired from the survey contain high noise and blurry layers,median filtering and edge processing are applied to make figure clear and then deduce stratigraphic categories according to the image feature.Finally,after a comprehensive analysis of large amount of data,an approximate description of sub-bottom profile of the survey area is achieved,and the direction of future work is pointed out.
出处
《声学技术》
CSCD
2010年第2期162-166,共5页
Technical Acoustics
基金
科技部国际合作经费资助