一种多波束测深声线跟踪自适应分层方法
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摘要
为解决声线跟踪精度与计算量之间的矛盾,在常梯度分层声线跟踪法的基础上,提出了一种适用于多波束测深的声线跟踪自适应分层方法,即利用Douglas-Peucker算法对原始声速剖面数据进行筛选分层。给出了不同阈值的分层结果,并对等间隔分层与自适应分层的声线跟踪结果进行了比较。实验结果表明,自适应分层法能够顾及到声速结构变化规律,有效提取声速变化节点,克服了人工选点的不足;在相同计算量情况下,自适应分层法声线跟踪精度要优于传统的等间隔分层法。本方法能够有效解决声线跟踪精度与计算量之间的矛盾,具有良好的工程应用价值。
In order to solve the conflict between the ray-tracing precision and the amount of computation,a selfadapting division method for ray-tracing of multibeam survey is presented.With the Douglas-Peucker algorithm,the original sound speed profile data is selected and divided,the division results with different threshold are given,and the ray-tracing results with equal interval division and self-adapting division are compared. The experiments show that the self-adapting division method can consider the change laws of sound structure,extract the sound speed changing node effectively and overcome the deficiency of artificial selection.In the case of same amount of computation,the ray-tracing accuracy of the self-adapting division method is better than the traditional equal interval division method.The method with a good engineering application value can effectively solve the conflict between the ray-tracing precision and the amount of computation.
In order to solve the conflict between the ray-tracing precision and the amount of computation,a selfadapting division method for ray-tracing of multibeam survey is presented.With the Douglas-Peucker algorithm,the original sound speed profile data is selected and divided,the division results with different threshold are given,and the ray-tracing results with equal interval division and self-adapting division are compared. The experiments show that the self-adapting division method can consider the change laws of sound structure,extract the sound speed changing node effectively and overcome the deficiency of artificial selection.In the case of same amount of computation,the ray-tracing accuracy of the self-adapting division method is better than the traditional equal interval division method.The method with a good engineering application value can effectively solve the conflict between the ray-tracing precision and the amount of computation.
引文
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[2]周坚,周青,吕良,等.关于多波束声速剖面改正问题的探讨[J].海洋测绘,2014,34(4):62-65.
[3]孙文川,暴景阳,金绍华,等.多波束海底地形畸变校正与声速剖面反演[J].武汉大学学报:信息科学版,2016,41(3):349-355.
[4]刘胜旋,屈小娟,高佩兰,等.声速剖面对多波束测深影响的新认识[J].海洋测绘,2008,28(3):31-34.
[5]董庆亮,韩红旗,方兆宝,等.声速剖面改正对多波束测深的影响[J].海洋测绘,2007,27(2):56-58.
[6]赵建虎,刘经南.多波束测深及图像数据处理[M].武汉:武汉大学出版社,2008.
[7]张居成,郑翠娥,孙大军.用于声线跟踪定位的自适应分层方法[J].哈尔滨工程大学学报,2013,34(12):1497-1501.
[8]刘胜旋.EM950多波束测深系统及其相关设备的简介[J].海洋地质,2000(2):1-8.
[9]何高文.多波束测深系统声速校正[J].海洋技术,2000,19(4):14-21.
[10]Simrad.Operator Manual Kongsberg Simrad EM950M ultibeam Echo Sounder[S].1998.
[11]魏玉阔.多波束测深假象消除与动态空间归位技术[D].哈尔滨:哈尔滨工程大学,2011.
[12]Mc Master R B.A Statistical Analysis of Mathematical M easures of Linear Simplification[J].The American Cartographer,1986,2(13):103-116.
[13]朱小辰.多波束测深数据处理关键模型及应用研究[D].大连:海军大连舰艇学院,2011.