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多波束测深系统的精度评估方法研究 总被引：2，自引：1，他引：2
在分析了多波束测深系统测量误差来源的基础上，讨论了多波柬测深系统静态精度、相对精度和绝对精度的系统精度评估方法。采用的静态精度评估方法就是在多波柬测深系统静止的条件下考核其对同一位置测量深度的误差；相对精度评估方法就是布设多条交叉重叠的测线，考核交叉重叠点的测深误差；绝对精度评估方法是在多波束测深的同时利用高精度的测深仪测量同一区域，用此参考地理模型来检验多波束测深的精度。根据误差理论，三种精度评估的方法分别从系统稳定性、自符合性和系统误差方面确定各误差源的综合误差，它们是检验多波束测深系统精度是否符合海道测量标准的有效方法。文中给出了系统试验数据的重要结果及设备验收的方法。 相似文献
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多波束测深系统越来越被广泛应用于深海调查,并逐渐成为远海综合调查船的标配仪器。利用其开展水深测量作业前对其测深性能进行有效而全面地评估是极为关键的一步。利用2套SeaBeam3012深水多波束测深系统、1套HY1690深水单波束测深系统,在不同条件海域开展一系列系统性试验,并对测深数据分别开展"线与线"、"线与面"及"面与面"的内符合及外符合对比,通过误差统计分析,对待评估多波束测深系统相对精度、绝对精度、波束质量等测深性能展开综合评估,形成一套评估方法。结果证明,上述评估方法是现行技术条件下深水多波束测深系统测深性能综合评估的有效方法。 相似文献
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长江口航道疏浚的多波束监测 总被引：2，自引：2，他引：2
在长江口深水航道整治工程中 ,用SimradEM30 0 0D多波束测深声纳系统对一段约 5 0 0 0m× 90 0m的疏浚航道试验段做了 5次重复水深地形测量 ,目的是为研究该工程的疏浚效果、边坡稳定性及泥沙冲淤等问题。讨论了在多波束系统需要临时安装的重复测量中 ,系统的安装校准及质量控制问题 ;分析了测量中主要误差源及由交叉测线获得的精度评估。通过对测量结果的分析表明 ,多波束测量的水深数据在反映水下微地形和分析局部沉积物运移趋势中 ,具有传统单波束测深不可比拟的优势。 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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Comparing single beam and multibeam echo sounder data where surveys overlap we find that: 95% of multibeam measurements are
repeatable to within 0.47% of depth; older single beam data can be at least as accurate as multibeam; single beam and multibeam
profiles show excellent agreement at full-wavelengths longer than 4 km; archival sounding errors are not Gaussian; 95% of
archival soundings in the northwest Atlantic are accurate to within 1.6% of depth; the 95th percentile error is about five
times greater in pre-1969 data than in post-1968 data; many of the largest errors are located over large seafloor slopes,
where small navigation errors can lead to large depth errors. Our uncertainty model has the form σ
2 = a
2 + (bz)2 + (cs)2, where 2σ is approximately the 95th percentile error, z is the depth, s is the slope, and a, b, c are constants we determine separately for pre-1969 and post-1968 data. 相似文献
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ABSTRACTThis paper details a new boresight calibration method for multibeam echo sounder systems This method is based on an automatic data selection algorithm, followed by a boresight least squares adjustment This method, called MIBAC (MultiBeam-IMU Boresight Automatic Calibration), takes in input overlapping survey strips following a simple line pattern over a regular slope. We first construct a boresight error observability criterion, used to select automatically the most sensitive soundings to boresight errors. From these soundings, we perform a 3D adjustment of the boresight angle, thus taking into account the coupling between angles. From a statistical analysis of the adjustment results, we derive the boresight angle precision. Numerical results obtained with four different multibeam echo sounder systems are presented and compared to those of a patch test calibration method. Finally, we demonstrate the performances of MIBAC through a standard deviation along the surface normal approach computed by principal component analysis. 相似文献
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