Optimum statistical gridding technique for multi beam echo sounder (MBES) data processing

R. Kannan, G. Latha, M. Devi
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引用次数: 2

Abstract

Multi Beam Echo Sounder (MBES) collects bathymetry and backscatter data simultaneously and has an advantage of wide coverage over seafloor. The multibeam data collected at sites off Chennai using Kongsberg EM1002 is corrected using PROBASI II software like heading, position, and slope. We analyzed the effect of gridding on corrected MBES data for grid cells of different sizes such as 2.5, 3.5, 4, 5 m and 7m by assigning "Mean", "Most frequent" and "Maximum" grid methods. In order to know the effect of centre beam pattern, backscatter images for all methods and grid cell sizes are generated. From the results, it is observed that the mean grid method with 5 m grid cell size is the optimum grid technique with reduced centre beam pattern. This is the first time an optimum grid technique is initiated for the analysis of MBES data collected in theBay of Bengal.
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多波束测深数据处理的统计网格优化技术
多波束回声测深仪(MBES)可同时采集测深数据和后向散射数据,具有覆盖范围广的优点。使用Kongsberg EM1002在Chennai附近的站点收集的多波束数据使用PROBASI II软件进行校正,如航向、位置和坡度。通过分配“Mean”、“Most frequency”和“Maximum”网格方法,对2.5、3.5、4、5 m和7m等不同尺寸的网格单元进行网格化处理,分析了网格化对修正后的MBES数据的影响。为了了解中心光束模式的影响,生成了所有方法和网格单元尺寸的后向散射图像。结果表明,网格单元尺寸为5 m的平均网格法是减小中心梁模式的最佳网格技术。这是首次采用优化网格技术对孟加拉湾MBES数据进行分析。
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