多波束声呐后向散射数据角度响应模型的改进算法

doi:10.11947/j.AGCS.2016.20160169

测绘学报 ›› 2016, Vol. 45 ›› Issue (11): 1301-1307.doi: 10.11947/j.AGCS.2016.20160169

多波束声呐后向散射数据角度响应模型的改进算法

严俊¹, 张红梅², 赵建虎¹, 孟俊霞¹

1. 武汉大学测绘学院, 湖北武汉 430079;
2. 武汉大学动力与机械学院, 湖北武汉 430072

收稿日期:2016-04-18 修回日期:2016-07-21 出版日期:2016-11-20 发布日期:2016-12-03
通讯作者: 张红梅 E-mail:hmzhang@whu.edu.cn
作者简介:严俊(1989-),男,博士生,研究方向为海洋测绘。E-mail:juny.yan@foxmail.com
基金资助:
国家自然科学基金（41576107；41376109；41176068）

Study on Improvement of Multibeam Backscatter Angular Response Model

YAN Jun¹, ZHANG Hongmei², ZHAO Jianhu¹, MENG Junxia¹

1. School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China;
2. School of Power and Mechanical Engineering, Wuhan University, Wuhan 430072, China

Received:2016-04-18 Revised:2016-07-21 Online:2016-11-20 Published:2016-12-03
Supported by:
The National Natural Science Foundation of China (Nos.41576107, 41376109, 41176068)

摘要/Abstract

摘要： 针对多波束后向散射数据的角度响应（AR）影响显著而现有角度响应模型在复杂底质环境下不完善导致多波束声呐图像质量偏低的问题，给出了一种改进的角度响应模型和改正方法。首先通过对多次声呐脉冲（Ping）数据平均获得角度响应曲线，然后给出了角度响应参数的提取方法，在此基础上研究并给出了单次脉冲内不同区段的改正模型，最终实现了多波束后向散射数据的角度响应影响减弱。试验验证了该方法的有效性。

关键词: 多波束图像, 后向散射, 角度响应参数, 模型改进

Abstract: Because multibeam backscatter data is greatly affected by the AR (angular response) and the AR correction models are not perfect in the complex seabed, the multibeam image quality is seriously reduced. This paper puts forward an improved AR model and a correction method. Firstly, we average continual pings to obtain the AR curve; Secondly, we give out the extraction method of AR parameters; Thirdly, we use the parameters to establish the improved AR model of different sections of one ping; Finally, we use the model to weaken the AR effect in multibeam backscatter images. The validities of the method have been verified by the experiments of the field multibeam acoustic backscatter.

Key words: multibeam image, backscatter, angular response parameters, model improvement

中图分类号:

P229

严俊, 张红梅, 赵建虎, 孟俊霞. 多波束声呐后向散射数据角度响应模型的改进算法[J]. 测绘学报, 2016, 45(11): 1301-1307.

YAN Jun, ZHANG Hongmei, ZHAO Jianhu, MENG Junxia. Study on Improvement of Multibeam Backscatter Angular Response Model[J]. Acta Geodaetica et Cartographica Sinica, 2016, 45(11): 1301-1307.

参考文献

[1] 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.
[2] 阳凡林, 李家彪, 吴自银, 等. 浅水多波束勘测数据精细处理方法[J]. 测绘学报, 2008, 37(4): 444-450, 457. DOI: 10.3321/j.issn:1001-1595.2008.04.008. YANG Fanlin, LI Jiabiao, WU Ziyin, et al. The Methods of High Quality Post-processing for Shallow Multibeam Data[J]. Acta Geodaetica et Cartographica Sinica, 2008, 37(4): 444-450, 457. DOI: 10.3321/j.issn:1001-1595.2008.04.008.
[3] 王海栋, 柴洪洲, 王敏. 多波束测深数据的抗差Kriging拟合[J]. 测绘学报, 2011, 40(2): 238-242, 248. WANG Haidong, CHAI Hongzhou, WANG Min. Multibeam Bathymetry Fitting Based on Robust Kriging[J]. Acta Geodaetica et Cartographica Sinica, 2011, 40(2): 238-242, 248.
[4] 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.
[5] SACCHETTI F, BENETTI S, GEORGIOPOULOU A, et al. Geomorphology of the Irish Rockall Trough, North Atlantic Ocean, Mapped from Multibeam Bathymetric and Backscatter Data[J]. Journal of Maps, 2011, 7(1): 60-81.
[6] MEDIALDEA T, SOMOZA L, LEóN R, et al. Multibeam Backscatter as a Tool for Sea-floor Characterization and Identification of Oil Spills in the Galicia Bank[J]. Marine Geology, 2008, 249(1-2): 93-107.
[7] FONSECA L, CALDER B. Geocoder: An Efficient Backscatter Map Constructor[C]//The US Hydrographic Conference. San Diego: CCOM JHC, 2005.
[8] 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]. Acta Oceanologica Sinica, 2006, 28(2): 51-55.
[9] 王煜. 多波束声纳图像入射角效应和镜面反射区异常的改正[D]. 青岛: 山东科技大学, 2009. WANG Yu. Correction of Incidence Effection and Mirror Reflection Exception on Multibeam Sonar Image[D]. Qingdao: Shandong University of Science and Technology, 2009.
[10] HAMMERSTAD E, POHNER F, PARTHIOT F, et al. Field Testing of a New Deep Water Multibeam Echo Sounder[C]//Proceedings of the Ocean Technologies and Opportunities in the Pacific for the 90's. Honolulu, Hawaii: IEEE, 1991, 2: 743-749.
[11] 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.
[12] HAMMERSTAD E. Backscattering and Seabed Image Reflectivity[R]. EM Technical Note, 2000.
[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 and Information Science of Wuhan University, 2011, 36(9): 1081-1084.
[14] WAITE A D. Sonar for Practising Engineers[M]. 3rd ed. New York, NY: John Wiley & Sons, 2002.
[15] CLARKE J E H, DANFORTH B W, VALENTINE P. Areal Seabed Classification Using Backscatter Angular Response at 95 kHz[C]//SACLANTCEN Conference on High Frequency Acoustics in Shallow Water. Lerici, Italy:[s.n.], 1997: 243-250.
[16] FONSECA L, MAYER L. Remote Estimation of Surficial Seafloor Properties through the Application Angular Range Analysis to Multibeam Sonar Data[J]. Marine Geophysical Researches, 2007, 28(2): 119-126.
[17] 金绍华, 肖付民, 边刚, 等. 利用多波束反向散射强度角度响应曲线的底质特征参数提取算法[J]. 武汉大学学报(信息科学版), 2014, 39(12): 1493-1498. JIN Shaohua, XIAO Fuming, BIAN Gang, et al. A Method for Extracting Seabed Feature Parameters Based on the Angular Response Curve of Multibeam Backscatter Strength[J]. Geomatics and Information Science of Wuhan University, 2014, 39(12): 1493-1498.
[18] CUTTER G R JR, DEMER D A. Seabed Classification Using Surface Backscattering Strength Versus Acoustic Frequency and Incidence Angle Measured with Vertical, Split-Beam Echosounders[J]. ICES Journal of Marine Science, 2014, 71(4): 882-894.
[19] HANIOTIS S, CERVENKA P, NEGREIRA C, et al. Seafloor Segmentation Using Angular Backscatter Responses Obtained at Sea with A Forward-looking Sonar System[J]. Applied Acoustics, 2015, 89: 306-319.
[20] DÍAZ J V M. Analysis of Multibeam Sonar Data for the Characterization of Seafloor Habitats[D]. California: University of New Brunswick, 2000.
[21] FONSECA L, BROWN C, CALDER B, et al. Angular Range Analysis of Acoustic Themes from Stanton Banks Ireland: A Link between Visual Interpretation and Multibeam Echosounder Angular Signatures[J]. Applied Acoustics, 2009, 70(10): 1298-1304.

多波束声呐后向散射数据角度响应模型的改进算法

Study on Improvement of Multibeam Backscatter Angular Response Model

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