测绘学报 ›› 2018, Vol. 47 ›› Issue (11): 1549-1557.doi: 10.11947/j.AGCS.2018.20170354

• 海洋测量 • 上一篇    下一篇

二次CUBE滤波算法及在边坡乱石区测深数据处理中的应用

郑永新1,2, 张红梅3, 赵建虎1,2   

  1. 1. 武汉大学测绘学院, 湖北 武汉 430079;
    2. 武汉大学海洋研究院, 湖北 武汉 430079;
    3. 武汉大电气与自动化学院, 湖北 武汉 430072
  • 收稿日期:2017-06-26 修回日期:2017-11-13 出版日期:2018-11-20 发布日期:2018-11-29
  • 通讯作者: 张红梅 E-mail:hmzhang.student@sina.com
  • 作者简介:郑永新(1993-),男,硕士生,研究方向为海洋测绘。E-mail:1195064725@qq.com
  • 基金资助:
    国家重点研发计划(2016YFB0501703);国家自然科学基金(4157060571;41376109)

Second CUBE Filtering Algorithm and Its Application in Sounding Data Processing of Slope Riprap Area

ZHENG Yongxin1,2, ZHANG Hongmei3, ZHAO Jianhu1,2   

  1. 1. School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China;
    2. Institude of Marine Science and Technology, Wuhan University, Wuhan 430079, China;
    3. School of Electrical Engineering and Automation, Wuhan Universality, Wuhan 430072, China
  • Received:2017-06-26 Revised:2017-11-13 Online:2018-11-20 Published:2018-11-29
  • Supported by:
    The National Key Research and Development Program of China (No. 2016YFB0501703);The National Natural Science Foundation of China(Nos. 4157060571;41376109)

摘要: 针对传统CUBE(combined uncertainty bathymetry estimation)算法在水下边坡乱石区多波束测深数据滤波中表现出的水深估计不准确、地形特征模糊和粗差剔除能力不足等问题,基于乱石区测深数据特点,提出二次CUBE滤波算法,给出了位置和水深同步估计的思想和方法、顾及地形梯度的平面和水深不确定度传递模型、参考水深的多重估计和优选新算法,以及顾及地形梯度的二次水深估计模型,综合实现了乱石区水深的准确估计和粗差的自动准确检测。试验表明,本文给出的方法实现了粗差的自动准确剔除,提高了传统CUBE算法水深估值的精度,算法效率和抗差性更强,形成的地形特征更加准确。

关键词: CUBE滤波, 边坡抛石区, 多波束测深点云, 平面位置估计, 二次CUBE滤波

Abstract: Traditional CUBE (combined uncertainty bathymetry estimation) filter generally fails to estimate the depth of the water accurately, and produces blur terrain feature in underwater slope riprap area by the multi-beam sounding data filtering with poor ability to remove gross error.Based on the sounding data characteristics of slope riprap area, a secondary CUBE filtering algorithm is proposed. The key idea is to estimate the plane position and depth synchronously, taking account of the transfer model of plane and water depth uncertainty related to terrain gradient. It is based on the second depth estimation model which considers geometric gradient and an optimization method of reference depth to accurately estimate the depth of water in underwater riprap areas and to detect gross error automatically.A set of meaningful experiments are also presented. And the experimental results have shown that the proposed method provides an automatic and accurate elimination for gross error. Specifically, the accuracy of the proposed algorithm is a few times higher than that of the traditional CUBE. It also demonstrates that the proposed filter shows superiority in preserving terrain features with better efficiency and robustness.

Key words: CUBE filtering, slope riprap area, multi-beam sounding point cloud, plane position estimation, second CUBE filtering

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