海底沉积物的声学方法分类
ACOUSTICAL CLASSIFICATION OF SEA FLOOR SEDIMENTS
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摘要: 本文提出一种垂直入射声脉冲遥测海底表层沉积物类型的方法。一些作者已经指出,海底反射系数可以作为特征量用于识别沉积物类型。然而,回波信号的形状可能包含沉积物类型更多的信息。本文尝试从回波包络的形状提取分类特征量。作者在实验中采取了减少表面散射影响的措施,采用较高的频率(120kHz),突出了沉积物中声衰减系数对回波包络形状的作用,从而提取出一个与衰减系数相关联的分类特征量F。该特征量与海底反射系数、海底粗糙度无关,用计算机软件实现了分类器。对五类海底分类75次的成功率为77.3%。Abstract: This paper discusses the classification of seabed sediment using normally incident, high frequency sound pules. A number of investigators used reflectivity of sound on the sea bottom and some other quantities as features for classification of sediment types. We suggest a new feature which is independent upon reflectivity and roughness of seabed. Our feature is extracted from relative form of echo envelope, it strongly correlates to attenuation of sound in sediments. The attenuation of sound is nearly proportional to frequency and at our frequency (120 kHz) the attenuation in different sediments varies in the range of about tenfold. Therefore we think the attenuation is a good feature for classification. In order to avoid the influence of surface backscattering, we used a directive transducer put near to the bottom. In laboratory a Bayes classifier was carried out by computer, and a fairly high success rate has achieved.