基于改进“移去-恢复”算法的海底地形构建方法研究

为解决源测量数据生成海底地形过程中,数据处理方法影响海底地形精度和分辨率的问题,提出了一种多源水深数据融合方案。在分析DEM、海图水深和多波束测深数据特点的基础上,兼顾不同数据源的优点,克服单一数据源的不足,基于“移去-恢复”算法进行改进,使算法更适用于融合高精度数据源,融合海图水深和多波束测深数据于DEM,构建新的海底地形数据集。选取试验区进行真实数据试验,试验结果表明,该方法既能提高海底地形整体的精度和分辨率,又能保留高密度区域的细节信息。在试验区内,原始DEM数据分辨率为15″,均方根误差为29.408 m,传统经典的“移去-恢复”算法构建的数据集分辨率为3″,均方根误差为28.563 m,本融合方案构建的数据集分辨率为3″,均方根误差为18.841 m。可见,与传统算法相比,本文算法对高精度数据源的融合效果更好,构建的数据集精度更高。

Research on Construction Method of Seabed Topography based on Improved " Remove-Restore "Algorithm

Submarine topography provides essential information for various researches in oceanography and has been widely applied to the marine meteorology,marine chemistry,and physical oceanography.However,the present submarine topography usually contains noise and outliers with low precision and resolution due to uncertainties in processing methods of raw measurements.Here,we proposed a multi-source bathymetry fusion technique by considering the merits of multi-source data including the Digital Elevation Model(DEM),charted depth,and multibeam bathymetric data.A modified"remove-restore"algorithm was employed to fuse multiple high-precision data sources(i.e.,charted depth and multibeam bathymetric data)with DEM to reconstruct the submarine topography.The results demonstrate that the proposed technique could improve the precision and resolution of the entire topography of seabed terrain and preserve the details of the high-density area.The resolution of the original DEM data was 15 arc seconds with a Root Mean Square Error(RMSE)of 29.408 m,and the resolution of the DEM using the classic"remove-restore"algorithm was 3 arc seconds with a RMSE of 28.563 m.While the proposed fusion technique could achieve the DEM at 3 arc seconds resolution with a lower RMSE(18.841).Hence,the proposed fusion technique outperforms classic algorithms in reconstructing accurate submarine topography database.