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Seabed properties analysis from multibeam backscatter data

机译:Multibeam后散射数据的海底属性分析

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摘要

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:海底使用多钻eChosounder数据的声学分类具有一系列应用和处理方法,以创建海底型号。本文的主要重点是实现海底粒度分布的可靠模型。来自Gongsberg EM3000的多次反散射数据在Cari​​s HIPS和SIPS软件上分析了GONGSBERG EM3000,使用Geocoder发动机进行了SIPS软件。该算法使用角度分析来产生海底模型。由软件用户定义的每个补丁都被分析为端口和右舷侧,并且作为最终结果,它不仅提供了海底粒度分布,还提供了速度,损失,密度,粗糙度,体积和阻抗等性质。在甘草胺环境中获得数据,这代表了定义海底粒度分布的主要挑战。作为最终结果,地理域算法给出的所有最终数据都与MATLAB相关,以评估海底上的特性分布的可靠性。

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