| CUBE曲面滤波参数联合优选关键技术及应用 |
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| 引用本文： | 赵荻能,吴自银,李家彪,周洁琼,张田升,刘洋,朱超,余威.CUBE曲面滤波参数联合优选关键技术及应用[J].测绘学报,2019,48(2):245-255. |
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| 作者姓名： | 赵荻能 吴自银 李家彪 周洁琼 张田升 刘洋 朱超 余威 |
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| 作者单位： | 自然资源部第二海洋研究所,浙江 杭州 310012;国家海洋局海底科学重点实验室,浙江 杭州310012;国家海洋局南海环境监测中心,广东 广州,510300 |
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| 基金项目： | 国家自然科学基金（41830540；41476049；41606057）；卫星海洋环境动力学国家重点实验室自主课题（SOEDZZ1802）；科技部科技基础性工作专项（2013FY112900）；浙江省公益性项目（2016C31120） |
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| 摘 要： | CUBE(combined uncertainty and bathymetry estimator)算法是国际上主流的多波束测深异常值自动探测与处理算法,在国内外被广泛应用,但对其核心算法和参数知之甚少,不利于该项技术的国产化。本文详细阐述了CUBE算法的基本原理、数学模型、关键参数和处理步骤,进而建立了CUBE曲面滤波参数联合优选方法。通过选取典型地形区、参数试验、对比分析等步骤完成参数的联合优选,并用台湾浅滩实测数据进行了验证。结果表明,优化后的参数可有效提升多波束数据自动处理的精度和效率。本文成果可应用于国产多波束测深处理软件的深化研发以及多波束实测数据处理。
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| 关 键 词： | 多波束测深 CUBE算法 参数优选 算法原理 数学模型 |
| 收稿时间： | 2018-03-04 |
| 修稿时间： | 2018-07-04 |
The key technology and application of parameter optimization combined CUBE and surface filter |
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| ZHAO Dineng,WU Ziyin,LI Jiabiao,ZHOU Jieqiong,ZHANG Tiansheng,LIU Yang,ZHU Chao,YU Wei.The key technology and application of parameter optimization combined CUBE and surface filter[J].Acta Geodaetica et Cartographica Sinica,2019,48(2):245-255. |
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| Authors: | ZHAO Dineng WU Ziyin LI Jiabiao ZHOU Jieqiong ZHANG Tiansheng LIU Yang ZHU Chao YU Wei |
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| Institution: | 1. Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China;
2. Key Laboratory of Submarine Geosciences, State Oceanic Administration, Hangzhou 310012, China;
3. Environment Monitoring Center of the South China Sea, South China Sea Branch of State Oceanic Administration, Guangzhou 510300, China |
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| Abstract: | CUBE (combined uncertainty and bathymetry estimator) is a widespread algorithm in the world to automatically detect and process multi-beam sounding outliers. While, little is known about its core algorithms and parameters, which is not good for the localization of this technology. In this paper, the basic principle, mathematical model, key parameters and processing steps of CUBE algorithm are elaborated. Then a method of parameter optimization selection combining CUBE and surface filter is established. And an example is presented, in which optimized parameters are selected by choosing typical bathymetric area, parameter test, comparative analysis and etc. And the optimized parameters are verified with the observed data in the Taiwan Banks. The results show that the optimized parameters can effectively improve the accuracy and efficiency of automatic processing of multi-beam data. The technology in this paper can provide reference for deepening research and development of domestic multi-beam sounding processing software and multi-beam data processing. |
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| Keywords: | multi-beam bathymetry CUBE algorithm parameter optimization algorithm principle mathematical model |
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