基于多源水深数据融合的海底高精度地形重建

发布时间：2018-05-29 14:37

本文选题：多波束 + 多源水深数据融合　；参考：《海洋学报》2017年01期

【摘要】：本文在研究多源水深数据构建技术的基础上,分析了张力样条插值算法和"移去-恢复"法的多源水深数据融合处理技术,基于该方法选取实验区,利用多波束、单波束、历史海图等多源水深数据进行高精度海底地形融合试验,并针对多源水深融合技术缺少误差评估的现状,利用split-sample方法对融合结果进行水深不确定性评估,形成融合结果的可靠性空间分布。结果表明该方法无论是在数据稀疏区还是高密度区都达到了较好的融合效果,既保留了高分辨率水深数据的细节信息,又较真实的反映了研究区海底地形特征,且构建的海底地形精度可靠,误差百分比集中在0.5%。本文整套数据融合和结果评估方法可为多源水深数据融合的海底高精度地形构建提供借鉴和参考。
[Abstract]:Based on the research of multi-source depth data construction technology, this paper analyzes the tension-spline interpolation algorithm and the multi-source depth data fusion processing technology based on the "remove-restore" method. Based on this method, the experimental area is selected, and the multi-beam and single-beam are used. In this paper, the multi-source bathymetric data, such as historical charts, are used to carry out the high-precision submarine topographic fusion experiment. In view of the lack of error assessment of multi-source water depth fusion technology, the split-sample method is used to evaluate the water depth uncertainty of the fusion results. The spatial distribution of the reliability of the fusion results is formed. The results show that the method achieves a good fusion effect in both sparse and high density regions, which not only preserves the detailed information of high resolution bathymetric data, but also truly reflects the characteristics of submarine topography in the study area. The accuracy of the constructed submarine terrain is reliable, and the error percentage is concentrated at 0.5%. The method of data fusion and result evaluation in this paper can be used for reference and reference for the construction of high-precision submarine topography with multi-source bathymetric data fusion.
【作者单位】：国家海洋信息中心;
【基金】：“全球变化与海气相互作用”专项资助(GASI-01-01-11)
【分类号】：P229.1

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