声速剖面精简运算的改进D-P算法及其评估

摘要/Abstract

摘要：

声速剖面在多波束测深中不可或缺。为解决原始测量的声速剖面数据量大而影响工作效率问题，本文进行了声速剖面的精简与优化研究。提出一种适用声速剖面数据精简运算的改进D-P算法(MOV方法)，并通过射线追踪法和误差百分比分析法评估精简前后的声速剖面对测深精度的影响，并利用实测声速剖面数据对该算法进行了验证。结果表明，通过优选算法阈值，声速剖面数据的简化率可达90%以上，可控制水深标准差百分比在0.1%以内，优化后的声速剖面可大幅提升多波束勘测与数据处理工作效率，具有重要的工程实际应用价值。

关键词: D-P算法, 声速剖面, 优化, 误差百分比, 分析法

Abstract:

Sound velocity profilesare indispensable in the multi-beam sounding. In order to solve problem thatthe amount of originalmeasured sound velocity profiles affect efficiency, this article focuses on sound velocity profile streamlining and optimization, presentinga improved D-P algorithm(MOV method)suitable for streamlining sound velocity profiles, assessing sounding accuracy before and after streamlining sound velocity profilesby ray tracing and percentage error method, and using the measured sound velocity profile data tovalidatethe algorithm.The results show that, by optimizing the threshold value for D-P algorithm, sound velocity profile data reduction rate can be 90% or more, standard deviation of percentagedepth is less than 0.1%, the optimized sound velocity profileshave important practical engineering application value that theycan significantly improve multi-beam survey and data processing efficiency.

Key words: Douglas-Peuckeralgorithm, Sound velocity profiles, Optimization, Percentage error, Analysis

中图分类号:

P217

赵荻能吴自银周洁琼李家彪李守军尚继宏. 声速剖面精简运算的改进D-P算法及其评估[J]. 测绘学报, 2014, 43(7): 681-689.

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