共查询到20条相似文献，搜索用时 93 毫秒
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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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根据多波束测深系统边缘波束采集的异常数据云图,判别分析多波束测深系统的各误差源对边缘波束测深的影响,从理论上探讨声线折射所引起的测深误差与边缘波束角之间的关系,通过多波束测深工程实例的精度验证,结果表明:换能器安装的牢固程度和校准精度、测船定位和姿态改正与测深的时间同步性,对边缘波束的测深精度影响较大;声线剖面误差使得中央波束和边缘波束的测深偏浅或偏深,各波束的测深误差曲线呈现"哭脸"状或"笑脸"状,但对于各波束测深的综合精度,中央波束精度相对较高,两侧边缘波束精度相对较低。 相似文献
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受声线弯曲的影响,多波束测深的边缘波束的数据质量较低,而单波束测深受声线弯曲的影响比较小。结合多波束覆盖面大和声速剖面误差对单波束影响相对较小的特点,研究了多波束和单波束的测深数据融合方法,利用同一位置单波束和多波束测深数据的差值,拟合一个与坐标位置相关的误差模型,并利用该误差曲面对多波束测深数据进行综合改正,从而提高多波束测深的数据质量。 相似文献
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A Post-Processing Method for the Removal of Refraction Artifacts in Multibeam Bathymetry Data 总被引：2，自引：0，他引：2
Fanlin Yang Jiabiao Li Ziyin Wu Xianglong Jin Fengyou Chu Zhongzhi Kang 《Marine Geodesy》2007,30(3):235-247
Sound refraction artifacts are often present in multibeam swath bathymetry data. For a flat array, the artifacts are usually more serious in outer beams than in inner beams. In a 3D topographical mapping they appear as ridges that parallel the tracks of the vessel. To shorten the survey time, the outer beams should be utilized as often as possible. Therefore, the refraction errors should be removed. In this paper, we present a model of reduced sound speed profile that consists of three water layers. The sound speed of the two upper layers has a constant gradient, and the third layer has the same sound speed as the most bottom measured layer. The model parameters can be searched based on the principle of the minimum difference of depth between the overlap of two neighboring swaths. The horizontal position and depth of each beam can be accordingly recalculated using the model parameters. To avoid being trapped in local optimum, the initial search scope is limited according to assumed lunch angle and travel time in each subregion. The method is verified by comparing the simulated and real data. 相似文献
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Some errors and noises are often present in multibeam swath bathymetric data. Echo detection error (EDE) is one of the main errors. It causes the depth error to become bigger in outer beams and looks like sound refraction. But depth errors due to EDEs have a trumpet-shaped appearance, instead of a curved appearance that is caused by the sound refraction errors. EDEs, including systematic acoustic signal detection errors and internal noises, cannot be removed during the correction of sound refraction. It causes depth inconsistencies between adjacent swaths and degrades precision of outer beams. Sometimes, the bathymetric errors caused by EDEs do not even meet the requirements of IHO (International Hydrographic Organization). Therefore, a post-processing method is presented to minimize the EDEs by filtering outliers and compressing outer beams of multibeam bathymetric data. The outliers caused by internal noises are removed by an automatic filter algorithm first. Then the outer beams are compressed to reduce systematic acoustic signal detection errors according to their depths, the calculated depth line and standard deviations (SDs). The automatic filter process is important for calculating the depth line. The selection of inner beams to calculate the average SD of beam depths is crucial to achieving compressing goals. The quality of final bathymetric data in outer beams can be improved by these steps. The method is verified by a field test. 相似文献
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在深远海海域开展多波束水深测量时,受海上苛刻作业条件等多种影响,获取全深度声速剖面往往比较困难。首先联合WOA2018温盐模型和多个站位CTD、XCTD实测温盐剖面资料开展了全深度声速剖面重构,进而使用三组来源不同的全深度声速剖面开展了多波束测深声速改正对比分析。从试验结果看,这几组声速剖面对多波束测深精度的影响基本一致。特别是当假定CTD站位采用XCTD设备并由此推算深度大于1099m的温盐及声速剖面时,多波束测深的声速改正结果也能满足海底地形成果的质量要求。 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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Vertical errors often present in multibeam swath bathymetric data. They are mainly sourced by sound refraction, internal wave disturbance, imperfect tide correction, transducer mounting, long period heave, static draft change, dynamic squat and dynamic motion residuals, etc. Although they can be partly removed or reduced by specific algorithms, the synthesized depth biases are unavoidable and sometimes have an important influence on high precise utilization of the final bathymetric data. In order to confidently identify the decimeter-level changes in seabed morphology by MBES, we must remove or weaken depth biases and improve the precision of multibeam bathymetry further. The fixed-interval profiles that are perpendicular to the vessel track are generated to adjust depth biases between swaths. We present a kind of postprocessing method to minimize the depth biases by the histogram of cumulative depth biases. The datum line in each profile can be obtained by the maximum value of histogram. The corrections of depth biases can be calculated according to the datum line. And then the quality of final bathymetry can be improved by the corrections. The method is verified by a field test. 相似文献
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多波束声呐记录的海底后向散射片段(Snippet)数据处理成角度响应曲线和地理编码(Mosaic)图像可以
帮助识别海底底质类型和反映地貌形态,这一过程包括辐射校正、角度响应改正(AVG)和几何地理编码,但不同的多波束系统硬件在辐射校正和角度响应改正方法上存在差异且传统处理方法忽略了声呐系统本身的指向性模型随时间变化的事实。以声呐方程为基础,针对Kongsberg EM 多波束系统提出了一套完整的Snippet数据处理流程,并分析了各步骤中存在的可变性,给出了每一步的处理建议,最后将此方法应用于EM2040浅水多波束实测数据,并验证了该方法的有效性和实用性。 相似文献