基于地形平均斜率的多波束数字水深处理

系统仿真学报 ›› 2015, Vol. 27 ›› Issue (5): 990-996.

基于地形平均斜率的多波束数字水深处理

于家成¹, 徐学强²

1.华北科技学院电子信息工程学院, 河北廊坊 065201;
2.中国南方工业研究院, 北京 100089

收稿日期:2013-12-20 修回日期:2014-12-30 出版日期:2015-05-08 发布日期:2020-09-01
作者简介:于家成(1967-),男,山东,博士,副教授,研究方向为电子测量、运动体建模与仿真;徐学强(1977-),男,山东,博士,工程师,研究方向为导航、制导与控制。
基金资助:
中央高校基本科研业务费资助项目(201103)

Digital Water Depth Processing for Multibeam Based on Average Slope of Terrain

Yu Jiacheng¹, Xu Xueqiang²

1. Department of Electronics and Information Engineering, North China Institute of Science and Technology, Langfang 065201, China;
2. China South Industries Research Academy, Beijing 100089, China

Received:2013-12-20 Revised:2014-12-30 Online:2015-05-08 Published:2020-09-01

摘要/Abstract

摘要： 根据多波束系统水深测量受地形影响的特点,提出了基于沿船体横纵两个方向地形平均斜率的水深校正算法,给出了5个水深校正因子,设计了水深平滑模板。以5个校正因子对初始扫描水深数据进行校正,以所设计的模板对校正后的数据进行滤波。仿真结果表明:校正后极大减小了水深测量误差,所设计的模板相对传统的高斯模板具有更高的平滑精度,更适应水深数据的滤波,通过两种处理方式,测量精度获得了明显提高,海底地形精度和光滑度都获得了较好的改善。

关键词: 多波束数字水深, 平均斜率, 校正因子, 模板滤波

Abstract: According to the characteristic of multibeam bathymetry in which measurement depth is influenced by terrain, revision algorithm was proposed based on average slope along the horizontal and vertical terrain. Five depth revision factors were obtained, and a depth smooth template was designed. The initial scan depth data were revised by the 5 revision factors, and then the revised depth data were filtered by the template. Simulation results show that, the depth of measurement error can be reduced greatly after revision, the designed template relative to the conventional Gauss template has higher smooth precision, more adapted to the water depth data filtering. Through two ways, the measurement accuracy has been improved obviously, and seabed terrain accuracy and smoothness both have been better modified.

Key words: multibeam digital water depth, average slope, revision factor, template filter

中图分类号:

P229.1

于家成, 徐学强. 基于地形平均斜率的多波束数字水深处理[J]. 系统仿真学报, 2015, 27(5): 990-996.

Yu Jiacheng, Xu Xueqiang. Digital Water Depth Processing for Multibeam Based on Average Slope of Terrain[J]. Journal of System Simulation, 2015, 27(5): 990-996.

参考文献

[1] 刘经南, 赵建虎. 多波束测深系统的现状和发展趋势[J]. 海洋测绘, 2002, 22(5): 3-6.
[2] 李家彪. 多波束勘测原理技术与方法[M]. 北京: 海洋出版社, 1999.
[3] 陆丹, 李海森, 魏玉阔, 等. 多波束测深系统中的海底地形可视化技术研究[J]. 仪器仪表学报, 2012, 33(2): 450-456.
[4] Bourillet Jf, Edy C, Rambert F, et al. swath mapping system processing: Bathymetry and cartography[J]. Marine Geophysical Researches (S0025-3235), 1996, 18(2): 487-506.
[5] Jakobsson M, Calder B R, Mayer L A. On the effect of random errors in gridded bathymetric compilations [J]. Journal of Geophysical Research (S2156-2202), 2002, 107(B12): 14-1-14-11.
[6] Calder B R.On the uncertainty of archive hydrographic data sets[J]. IEEE Journal of Oceanic Engineering (S0364-9059), 2006, 31(2): 249-265.
[7] 孙岚, 刘雁春, 李明叁. 基于多波束数据的海底地形建模技术[J]. 海洋测绘, 2009, 29(1): 39-41.
[8] 林珲, 吴立新, 方兆宝, 等. 水深测量的误差因子分析[J]. 海洋测绘, 2005, 25(2): 1-5.
[9] 方兆宝. DGPS 技术及其在海道测量中的应用研究[D]. 武汉: 武汉测绘科技大学, 1999.
[10] Chen Y Q, Liu Y C.Correction for the Seabed Distortion caused by the Angular Beamwidth of Echosounders[J]. The Hydrographic Journal, 1997, 84(1): 15-19.
[11] 褚宏宪, 周小明, 史慧杰, 等. 水深测量误差分析与改正[J]. 物探与化探, 2011, 35(3): 358-362.
[12] 刘雁春, 陈永奇. 海洋测深的波束角效应及其改正[J].海洋测绘, 1999 (2): 20-27.
[13] Okino, M., Higashi, Y.Measurement of Seabed Topography by Multibeam Sonar Using CFFT[J]. IEEE Journal of Oceanic Engineering (S0364-9059), 1986, 11(4): 474-479.
[14] 赵会滨, 徐新盛, 吴英姿. 多波束条带测深技术发展动态展望[J]. 哈尔滨工程大学学报, 2001, 22(2): 41-45.
[15] Moustier C D.State of the art in swath bathymetry survey systems[J]. International Hydrographic Review (S0020-6946), 1988, 65(2): 25-54.
[16] 于家城, 宋春雷, 晏磊, 等. 多波束声纳数字测深与改正模型[J]. 北京大学学报(自然科学版), 2008, 44(3): 429-433.