Research on the establishment and analysis about two kinds of multibeam backscatter strength normalization
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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。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.
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Gardner J V, Dartnell P, Mayer L A, et al. Geomorphology, acoustic backscatter, and processes in Santa Monica Bay from multibeam mapping[J]. Marine Environmental Research, 2003, 56(1/2):15-46. 唐秋华, 李杰, 周兴华,等. 济州岛南部海域海底声呐图像分析与声学底质分类[J]. 海洋学报, 2014, 36(7):133-141. Tang Qiuhua, Li Jie, Zhou Xinghua, et al. Seabed sonar image analysis and acoustic seabed classification in the south of the Cheju Island[J]. Haiyang Xuebao, 2014, 37(7):133-141. Clarke J E H, Mayer L A, Wells D E. Shallow-water imaging multibeam sonars:a new tool for investigating seafloor processes in the coastal zone and on the continental shelf[J]. Marine Geophysical Researches, 1996, 18(6):607-629. Clarke J H. Toward remote seafloor classification using the angular response of acoustic backscattering:a case study from multiple overlapping GLORIA data[J]. IEEE Journal of Oceanic Engineering, 1994, 19(1):112-127. Hammerstade E. Backscattering and seabed image reflectivity[R]. EM Technical Note, 2000. Hellequin L, Boucher J M, Lurton X. Processing of high-frequency multibeam echo sounder data for seafloor characterization[J]. IEEE Journal of Oceanic Engineering, 2003, 28(1):78-89. Clarke J E H, Danforth B W, Valentine P. Areal seabed classification using backscatter angular response at 95kHz[C]//Saclantcen Conference on High Frequency Acoustics in Shallow Water. Lerici, Italy, 1997:243-250. 唐秋华, 周兴华, 丁继胜, 等. 多波束反向散射强度数据处理研究[J]. 海洋学报, 2006, 28(2):51-55. Tang Qiuhua, Zhou Xinghua, Ding Jisheng, et al. Study on processing of multibeam backscatter data[J]. Haiyang Xuebao, 2006, 28(2):51-55. Zhao Jianhu, Yan Jun, Zhang Hongmei, et al. Two self-adaptive methods of improving multibeam backscatter image quality by removing angular response effect[J]. Journal of Marine Science & Technology, 2016, 22(2):1-13. 金绍华, 翟京生, 刘雁春, 等. 海底入射角对多波束反向散射强度的影响及其改正[J]. 武汉大学学报:信息科学版, 2011, 36(9):1081-1084. Jin Shaohua, Zhai Jingsheng, Liu Yanchun, et al. Influence of seafloor incidence angle on multibeam backscatter intensity and corrected method[J]. Geomatics & Information Science of Wuhan University, 2011, 36(9):1081-1084. Gonzalez R C, Woods R E. Digital image processing[J]. Prentice Hall International, 1987, 28(4):484-486.
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