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Seabed properties analysis from multibeam backscatter data

机译:从多波束反向散射数据分析海床特性

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Acoustic classification of seabed using multibeam echosounder data has a range of applications and processing methodologies to create seabed models. The main focus on this paper is to achieve a reliable model of seabed grain size distribution. Multibeam backscatter data from Kongsberg EM3000 was analyzed on CARIS HIPS and SIPS software with Geocoder engine. This algorithm uses angular analysis to generate seabed model. Each patch defined by software user is analyzed for port and starboard side and as final results it gives not only the seabed grain size distribution but also properties such as velocity, loss, density, roughness, volume and impedance. Data was acquired on a glaciomarine environment, which represents a major challenge on defining seabed grain size distribution. As a final result, all final data given by Geocoder algorithm were correlated on Matlab to evaluate reliability of properties distribution on seabed.
机译:使用多波束回波测深仪数据对海床进行声学分类具有创建海床模型的一系列应用程序和处理方法。本文的主要重点是建立可靠的海床粒度分布模型。在CARIS HIPS和带有Geocoder引擎的SIPS软件上分析了Kongsberg EM3000的多光束反向散射数据。该算法使用角度分析生成海床模型。由软件用户定义的每个贴片都将在左舷和右舷侧进行分析,最终结果不仅给出了海底晶粒尺寸分布,而且还给出了诸如速度,损耗,密度,粗糙度,体积和阻抗之类的属性。在冰川海环境中获取数据,这是定义海床粒度分布的主要挑战。作为最终结果,将Geocoder算法给出的所有最终数据在Matlab上进行了关联,以评估海床属性分布的可靠性。

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