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两种多波束反向散射强度数据归一化方法的建立与分析
引用本文:杨彬,何林帮.两种多波束反向散射强度数据归一化方法的建立与分析[J].海洋学报,2018,40(7):143-149.
作者姓名:杨彬  何林帮
作者单位:上海海洋大学 海洋科学学院, 上海 201306
基金项目:国家重点研发计划(2016YFB0501700);上海市重点科研计划项目(17DZ1204902)。
摘    要:多波束反向散射强度数据应用广泛,但由于受到角度响应的影响,导致生成的多波束声呐图像质量偏低,且现有角度响应改正方法在复杂海底底质环境下适应性较差。为此本文对散射强度进行分析,给出了两种多波束反向散射强度数据归一化方法,分别为基于高斯拟合以及角度响应的散射强度改正方法,前者主要是基于散射强度的变化规律进行改正,而后者则是基于声波的散射机理进行改正。实验结果表明两种方法较传统改正方法精度均有约30%的提升,并且角度响应方法较高斯拟合方法改正精度更高,但计算效率有所下降。以上实验验证了两种方法的有效性,实现了散射强度数据的归一化,提升了多波束声呐图像的质量。

关 键 词:多波束反向散射强度    角度响应    多波束声呐图像    散射强度归一化    高斯拟合
收稿时间:2017/8/30 0:00:00
修稿时间:2018/1/10 0:00:00

Research on the establishment and analysis about two kinds of multibeam backscatter strength normalization
Yang Bin and He Linbang.Research on the establishment and analysis about two kinds of multibeam backscatter strength normalization[J].Acta Oceanologica Sinica (in Chinese),2018,40(7):143-149.
Authors:Yang Bin and He Linbang
Affiliation:College of Marine Science, Shanghai Ocean University, Shanghai 201306, China
Abstract:Multi-beam backscatter strengths (BS) are widely applied in many fields. The sonar image often has low quality caused by the impact of angular response (AR), and due to the poor adaptation of existing AR correction model in complex submarine environment, two kinds of BS normalization methods are proposed to solve the AR influence, namely Gaussian Fitting correction and AR correction. Where, the former is based on the BS regulation and the latter is based on the acoustic scattering mechanism. The experimental results showed that the accuracy of the two methods was about 30% higher than that with the default correction method, and the AR correction method is more accurate than the gauss fitting correction method, but the calculation efficiency was decreased. The above results verify the effectiveness of the two methods, and the normalization of BS is realized and improve the quality of sonar images.
Keywords:multibeam backscatter strength  angular response  multibeam sonar image  backscatter strength normalization  Gaussian Fitting
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