【摘要】 海底沉积层分层结构对水下声传播有显著的影响。浅地层剖面仪是获取浅层海底的沉积层等效分层结构的一种高效手段,但是其输出数据易受环境影响且依赖人工识别。为提取沉积层分层结构,本文提出了一种自动提取沉积层等效分层界面的混合图像处理方法。该方法综合统计增强、多尺度线条滤波和二维小波变换的图像处理技术,有效抑制随机噪声和垂直干扰,增强分层区域的能量对比度,提高界面提取的准确度;结合二值化处理和深度错位相减的方法,可以得到沉积层等效分层结构参数。海上实验数据处理结果表明:该方法可以自动提取沉积层等效分层界面,不依赖于人工识别,且在几种典型沉积层分层环境下均能准确提取,具有很好的环境适应性。更多还原

【Abstract】 The stratified structure of sediment on the seafloor has a significant influence on underwater acoustic propagation. Sub-bottom profiler is a high-efficiency method to obtain the equivalent stratified structure of shallow sediment,but its output data are vulnerable to environmental impact and rely on manual identification. To extract the stratified structure of sediment,a hybrid image processing method,which combines statistical enhancement,multi-scale line filter,and 2-D wavelet transform,is proposed to automatically extract the equivalent layered interface of deposit. The processing aims to suppress random noise and vertical interference,enhance energy contrast at the interface,and increase the accuracy of interface extraction. Afterward,combined with binary processing,the method of offset subtraction in depth direction can be used to extract the equivalent stratified parameters of sediment. The actual data processing results demonstrate that this method can automatically extract the equivalent stratified interface; it does not depend on manual identification and can accurately extract data in several typical stratified environments of sediment with good environmental adaptability.更多还原