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SEABED GEOACOUSTIC CHARACTERIZATION AND CLASSIFICATION BY MULTISONAR FUSION

机译:Multisonar Fusion的海底地理声学表征和分类

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To improve the performance prediction of low frequencies sonar (Anti Submarine Warfare) we can use geoacoustic information coming from different kind of sensors. However, geoacoustic and scattering properties estimation by inversion of received acoustic signals remains very difficult and strongly dependent on the system of measurement. Indeed the interaction between an acoustic wave and the sediment is heavily dependent on frequency, measurement angle and micro roughness of seafloor. Therefore, fusion of geoacoustic models inverted from different sonar systems with wide diversity of insonification angles and frequencies (single beam echosounder (SBES), multibeam echosounder (MBES), sidescan sonar (SSS) and subbottom profiler(SBP)) allow an extended description of the acoustic properties of the seafloor and the first sediment layers. In this paper, we propose a characterization method based on the Dempster Shafer theory of evidence to fuse geoacoustic models in order to classify the seafloor and estimate geoacoustic parameters.
机译:为了提高低频的性能预测声纳(抗潜艇战),我们可以使用来自不同类型传感器的地理声学信息。然而,通过接收的声学信号的反转的地理声学和散射特性估计仍然非常困难且强烈地取决于测量系统。实际上,声波和沉积物之间的相互作用严重依赖于海底的频率,测量角度和微粗糙度。因此,从不同的声纳系统融合的地理声学模型具有广泛的钝化角度和频率(单光束回声器(SBE),多射频回声(MBES),SideScan Sonar(SSS)和副突出者(SBP))允许扩展描述海底和第一沉积物层的声学特性。在本文中,我们提出了一种基于Dempster Shafer证据的表征方法来融合地理声学模型,以分类海底和估计地理声学参数。

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