深水多波束声呐测深数据精度评估

多波束测深精度评估是水深测量质量控制的重要方面,静态精度评估与交叉测线动态精度评估能够从不同角度表征测深精度,估计测量样本的综合误差。在实际调查作业过程中,由于缺少水深真值,在进行精度估计时缺少可操作性。本文利用Kongsberg EM120型深水多波束系统的测深数据,基于某一区域的重复测量数据,应用中央波束的水深数据进行静态精度分析;通过引入网格化方法,进行动态水深精度评估分析,并通过偏差分析揭示测量样本的误差分布特征。结果表明,中央波束水深数据静态精度评估与基于网格化方法的动态精度评估具有实际可操作性,其结果能够有效估计测深的综合误差;重复测量数据的偏差分析能够有效展示误差的分布特征。     

Morphologic investigation of “uncharted” seamount from central Indian basin revisited with multibeam sonar system

Morphology of a seamount at 12°35'E and 76°18.5’ and two abyssal hills in its vicinity is described using the Hydrosweep multibeam‐swath bathymetric system. The height of the seamount is 1350 m, and it occupies an area of 330 km². Its basal width is 22.5 km, and the mount has a gentle and longer western flank and a steep and shorter eastern flank. There is a characteristic terracelike feature on the western flank, about 300 m from the top. A caldera is also observed on top of the seamount. Slope angles in this area are high (over 35"). Results of morphologic studies of the seamount from the multibeam survey are comparable to those from a narrow‐beam echosounding survey. The origin of the seamount may be related to the presence of a fracture zone at 75°45'E.     

Robust Automatic Reduction of Multibeam Bathymetric Data Based on M-estimators

Multibeam echosounders have commonly been employed for a wide range of applications including offshore survey, navigation, hydrogeology, and oceanography. Because the tremendous volume of the bathymetric data is demanding for some purposes and requires significant storage space, the data reduction plays a prominent role in practice. Additionally, the multibeam soundings are inevitably contaminated with sporadic outliers, and as such, the data cleaning can be challenging especially in shallow waters. We present a speedily robust method for reliably reducing the volume of the bathymetric data within grid cells. In this respect, robust M-estimators are recursively applied to the data in a patch-wise manner to alleviate the undesirable effects of the outlying observations. Accordingly, the reduced bathymetry is automatically made unaffected by the possible outliers once their equivalent weights have been downweighted. The performance of the presented method has been demonstrated by synthetic datasets and an experimental dataset collected by an ATLAS FS 20/100 kHz shallow-water multibeam echosounder in the offshore waters of Kish wharf. The reliability, efficiency, and capability of the proposed method have been verified, which makes it quite possible to meet the IHO requirements for special-order seafloor mapping.     

多波束测深数据异常值检测算法比较

简要介绍了现行的部分国内外多波束测深数据异常值检测算法,比较和分析了算法的各自优缺点,包括中值滤波、基于趋势面的测深异常检测、抗差估计异常值检测。总结得出,通过综合利用以上各种算法,能有效提高测深数据的异常值检测效果。     

多波束水深测量误差源分析与成果质量评定

结合多波束测深系统在海洋水深测量实际生产中的应用,分析了受复杂海洋动态环境以及仪器自身原因等内外部因素影响易产生的各种粗差和系统性偏差,探讨了适用于多波束测深系统获取的水深测量成果的质量控制和检验指标,制定了涵盖多波束测深数据采集、处理、成果制作、验收等全过程的质量检验方案。     

冲绳海槽南部多波束海底地形虚拟视景仿真初探

针对冲绳海槽南部海底地形,首先根据等效声速剖面原理处理原始多波束地形数据,使得多波束条带之间拼接良好;然后以Creator和Creator Terrain Studio为主要工具,生成地形和纹理数据集以构建海底地形场景库;最后在Vega Prime运行环境中进行交互。利用多通道实时渲染和立体投影技术,使用户最终得到对虚拟图像的真实感、立体感和沉浸感。     

A New Method of Automatic SVP Optimization Based on MOV Algorithm

We applied the maximum offset of sound velocity algorithm to sound velocity profile streamlining and optimization to overcome multibeam survey and data-processing efficiency problems. The impact of sound velocity profile streamlining on sounding data accuracy is evaluated. By automatically optimizing the threshold, the reduction rate of sound velocity profile data can reach over 90% and the standard deviation percentage error of sounding data can be controlled to within 0.1%. The optimized sound velocity profile data improved the operational efficiency of the multi-beam survey and data postprocessing by 3.4 times, indicating that this algorithm has practical value for engineering applications.     

TerraSolid与ArcGIS相结合的海量多波束数据成图处理方法

针对海量多波束数据数据量大、处理成图困难的特点,本文提出了利用TerraSolid软件对海量多波束数据进行质量检查与抽稀,再通过ArcGIS软件进行制图处理的方法。实际生产应用证明该方法可靠、方便,提高了作业效率。     

多波束测深数据抽稀准则研究

本文通过对多波束测深(采样)数据DTM结构的分析,结合目前多波束测深数据处理和海图编辑、使用的现状和目标,提出了三种抽稀准则:航行安全性准则、地形完善性准则、线性化准则,并建立了相应的数学模型,为后续的多波束测深数据抽稀方法的实现提供了依据和理论基础。     

SeaBeam 3012深水多波束测深系统标定方法

以"向阳红10"科考船船载SeaBeam 3012多波束测深系统为例,对深水多波束系统的标定方法进行研究,依照海试标定试验对海上标定的步骤进行了较全面的阐述,通过标定测量得到水下换能器阵安装偏差结果,并对该系统进行了性能测试和精度评估。通过对采集到的水深数据进行分析,可知该测深系统的水深数据质量可靠,地形图能客观、合理地呈现海试区域的水深和地形地貌信息。