共查询到18条相似文献，搜索用时 78 毫秒
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多波束测深系统声速校正 总被引：5，自引：0，他引：5
海水声速是多波束测深系统进行水深测量的基本参数之一,声速剖面正确与否直接影响测量结果的精度和可靠性,本文阐述了声对多波束水深测量的影响机理,并通过对南海ＳＡ１２试验区采集的声速资料的分析,以ＳｅａＢｅａｍ２１００多波束测深系统为例,对声速校正的技术方法进行了探讨。 相似文献
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经验正交函数(EOF)是描述声速剖面的有效基函数,通常只需要前几阶EOF即可较为精确地表示声速剖面。但使用EOF重构的声速剖面进行多波束测量声速改正时,选取的阶次未必满足多波束测深精度要求。针对此问题,首先介绍了EOF表示声速剖面的原理及流程,然后以北海某区域实测声速剖面数据为例,分析了不同阶次EOF拟合声速剖面误差以及不同阶次EOF拟合声速剖面对多波束测深的影响,最后结合NOAA对多波束测量声速剖面误差造成的水深限差要求确定EOF阶次,实现了在满足多波束测深精度的同时,合理确定EOF阶次的目的。 相似文献
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为了研究内波对多波束测深的影响,通过对内波建模,分别对四个区间的声线跟踪情况进行了研究分析。在此基础上,推导了针对曲线型梯度结构的声线跟踪模型,并根据该模型进行了仿真分析。仿真简单模拟了采用常梯度声线跟踪模型对曲线型梯度结构声速剖面进行声速改正的声线跟踪过程。采用仿真数据绘制了声线跟踪前后的声线示意图,并对归算前后的波束脚印位置进行了比较分析。仿真结果说明内波会给多波束的边缘波束带来大量尖峰状的浅点,而这些浅点难以用传统的声速改正模型消除。推导的针对曲线型梯度结构的声线跟踪模型可为内波的进一步研究提供理论依据,最后对未来的研究进行了展望。 相似文献
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随着测量技术的不断进步,多波束测深系统以其高效率、全覆盖的特点,得到广泛认可并应用于海道测量工作中,然而不同型号的多波束测深系统,其信号质量在不同使用方法下有着显著的差异[1].针对影响Reson 8101增强型多波束数据质量的几项因素进行测试并分析,从而找出有效提高数据质量的方法. 相似文献
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We applied the maximum offset of sound velocity algorithm to sound velocity profile streamlining and optimization to overcome multibeam survey and data-processing efficiency problems. The impact of sound velocity profile streamlining on sounding data accuracy is evaluated. By automatically optimizing the threshold, the reduction rate of sound velocity profile data can reach over 90% and the standard deviation percentage error of sounding data can be controlled to within 0.1%. The optimized sound velocity profile data improved the operational efficiency of the multi-beam survey and data postprocessing by 3.4 times, indicating that this algorithm has practical value for engineering applications. 相似文献
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A computer code that simulates multibeam echo‐sounding over realistic (three‐dimensional) bathymetry was used to compare available sounding systems. Two‐dimensional modeling dealt with the resolution of seafloor bathymetry and with the effect of postprocessing algorithms for some typical multibeam systems. The 2‐D bathymetric inputs were idealized bottom features. Three‐dimensional modeling dealt with the gross character of the seafloor, as detected by echo‐sounding systems. The 3‐D bathymetric inputs were realizations of terrain generated by a stochastic model of seafloor roughness. Three‐dimensional modeling indicated that the sounding system may slightly shift the location of peaks within the beam footprint. In addition, the simulated measurements were more sensitive to low‐wavenumber features (i.e., large‐scale roughness) than to high‐wavenumber features (i.e., small‐scale roughness). Resolution gradually decreased with increasing distance from centerline, due to the increasing footprint size of beams at increasing angular distance from the vertical. Lineated terrain was also smoothed by simulated echo‐sounding; lineations may indeed remain undetected if sounding system parameters are not properly selected. Inversion of the simulated measurements indicated that echo‐sounding measurements are dependent not only on the characteristics of the sounding system itself, but on other factors such as the character of the roughness and the orientation of the survey relative to the strike of lineations. The modeling technique provides a way to quantify the system response of a multibeam echo‐sounding system. This work resulted in recommendations as to the most appropriate system for an application in an area of rough bathymetry, and it led to the establishment of criteria for comparing multibeam systems in future applications. 相似文献