基于多波束数据的网格水深模型内插方法精度分析

The Accuracy Analysis for Grid Depth M odel Interpolations Based on M ultibeam Echosounder Data

以多波束水深数据作为源数据,分析了网格水深建模中的数据内插,介绍了网格水深建模所用的常用内插方法,并从水深建模的精度和效率出发,计算分析了网格水深建模过程中内插方法的应用效果。实验结果表明:在当前网格水深建模常用的内插方法中,加权平均法是较适合多波束水深源数据内插网格水深模型点的方法,双线性曲面法是较适合网格水深模型点推估模型表面任意点水深的方法。

The data interpolation is analyzed in the grid depth modeling based on mulfibeam echosounder data, and the common interpolation methods applied in the grid depth modeling is introduced. Then the effects of the interpolation methods are analyzed in the grid depth modeling from the aspect of the accuracy and efficiency of the depth modeling. The experimental results demonstrate：the weighted average method is the most available method for the interpolating the depths of the grid nodes based on the multibeam echosounder data, and the bilinear surface method is the most available method for interpolating the depths of the arbitrary point on the model surface based on the grid nodes.