共查询到18条相似文献，搜索用时 140 毫秒
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以可区分度量为准则进行变形监测网的优化设计 总被引：1，自引：0，他引：1
本文采用变形模型可区分度量的概念进行监测网的优化设计。在算法上采用计算机模拟逐一更新的计算过程，为了克服常规模拟法需要人工干预的缺点，引进了一些规则，利用计算机的判断和推理过程，达到了自动设计的目的，作为示范例子，文中最后还给出了一个模拟监测网的设计结果。 相似文献
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赵少荣 《武汉大学学报(信息科学版)》1991,(2)
本文首先借助于 Gauss-Markov 模型下两个多维备选假设检验的理论,将变形监测网单个备选假设下的灵敏度,在顾及模型误差的情况下,扩展成监测网的可区分性理论,提出了监测网的可区分性和区分可靠性概念;其次,对于监测网在三种典型变形模型(单点移动,错动和均匀应变)下变形与粗差的可区分性进行了讨论,获得了一些有益的结论。 相似文献
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变形监测网的平差问题实际上是一种带约束条件的函数优化问题。本文从附加带权基准方程的变形监测网平差统一模型入手,探讨了实数编码遗传算法在变形监测网非线性参数平差应用中的有效性问题:针对平差基准的等式约束条件,通过等式变换对平差参数进行降维处理,达到了约束优化问题向无约束优化问题的转变,实现了不同基准条件下变形监测网的非线性遗传算法参数平差。 相似文献
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本文采用变形模型可区分度量的概念进行监测网的优化设计。在算法上采用计算机模拟逐一更新的计算过程。为了克服常规模拟法需要人工干预的缺点,引进了一些规则,利用计算机的判断和推理过程,达到了自动设计的目的。作为示范例子,文中最后还给出了一个模拟监测网的设计结果。 相似文献
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根据单个备选假设的统计检验,详细导出了模型误差的可区分度公式,并论述了可区分度与可发现度及与Forstner法的关系。作为应用,可导出变形模型的可区分度及网的可区分标准,在监测网的设计中应用。 相似文献
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矿区GPS变形监测与变形分析 总被引：3，自引：3，他引：3
对矿区DPS变形监测网的建立、实时监测、基线平差、变形分析及分形特征等问题，进行了较系统深入的探讨。经对GPS实时监测变表数据分析可知，地表点的移动具有较强的分形增长规律，GPS变形监测技术能够揭示地表移动的非线性特征，为变形分析与预测提供了新的途径。 相似文献
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介绍了国家同步辐射加速器储存环平面变形观测监测网的优化设计、观测实践、数据处理与变形分析方面的情况,以及本项目中所使用的粗差检测方法。 相似文献
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从形变监测数据处理中常用的动态平差模型出发，推导出了研究形变与粗差可区分性的公式，给出在形变模型统计检验的同时统计检验粗差的方法与步骤，对垂直形变监测网的可区分性作了详细讨论和实例分析，得出几点结论． 相似文献
11.
Zhao Shaorong 《Journal of Geodesy》1990,64(4):301-396
According to the testing theory with two alternative hypotheses, the theory of detectability for a deformation monitoring
network has been extended to the theory of separability for deformations and gross errors. With this theory it can be evaluated
whether deformations and gross errors can be statistically distinguished each other, which is very important for deformation
analysis. General formulas are established and the separability between deformations and gross errors for some typical deformation
models is investigated. An example of separating gross errors from deformations is given. 相似文献
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建立了包括各种静态平差模型和线性动态平差模型的动态平差概括模型，推导了其主要求解公式。对动态平差概括模型下的形变检验和形变与粗差的可区分性检验作了公式推导和理论分析，丰富了形变监测数据处理理论。 相似文献
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《International Journal of Digital Earth》2013,6(1):72-82
Abstract Digital elevation model (DEM) matching techniques have been extended to DEM deformation detection by substituting a robust estimator for the least squares estimator, in which terrain changes are treated as gross errors. However, all existing methods only emphasise their deformation detecting ability, and neglect another important aspect: only when the gross error can be detected and located, can this system be useful. This paper employs the gross error judgement matrix as a tool to make an in-depth analysis of this problem. The theoretical analyses and experimental results show that observations in the DEM matching algorithm in real applications have the ability to detect and locate gross errors. Therefore, treating the terrain changes as gross errors is theoretically feasible, allowing real DEM deformations to be detected by employing a surface matching technique. 相似文献
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为了避免灾情误判和误报,准确探测和剔除滑坡形变监测数据中的粗差已经成为提高监测数据质量亟待解决的问题。已有方法主要针对单一传感器数据独立处理,且过度依赖数据变化本身的突变-平滑关系,难以有效区分粗差和外界因素突变引起的奇异值。介绍了一种知识引导的滑坡监测数据粗差剔除方法,通过粗糙集属性约简筛选具有相关关系的多源滑坡观测数据,并结合多元统计理论挖掘粗差影响因素间的时空约束关系,利用不同类型滑坡监测数据变化间的相关性规律,将多因素影响下的滑坡形变抽象为多模式的组合,根据不同模式自适应选择多因子模型以此引导卡尔曼滤波模型更新,从而实现滑坡形变监测粗差的定位与剔除。实验证明,该方法不仅能够有效甄别因环境变化引起的突变,并且能显著提高滑坡形变监测数据粗差自适应剔除的准确性、可靠性与智能化水平。 相似文献
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Robust estimation of deformation from observation differences for free control networks 总被引：1，自引：1，他引：0
Deformation measurements have a repeatable nature. This means that deformation measurements are performed often with the same equipment, methods, geometric conditions and in a similar environment in epochs 1 and 2 (e.g., a fully automated, continuous control measurements). It is, therefore, reasonable to assume that the results of deformation measurements can be distorted by both random errors and by some non-random errors, which are constant in both epochs. In other words, there is a high probability that the difference in the accuracy and precision of measurement of the same geometric element of the network in both epochs has a constant value and sign. The constant errors are understood, but the manifestation of these errors is difficult to determine in practice. For free control networks (the group of potential reference points in absolute control networks or the group of potential stable points in relative networks), the results of deformation measurements are most often processed using robust methods. Classical robust methods do not completely eliminate the effect of constant errors. This paper proposes a new robust alternative method called REDOD. The performed tests showed that if the results of deformation measurements were additionally distorted by constant errors, the REDOD method completely eliminated their effect from deformation analysis results. If the results of deformation measurements are only distorted by random errors, the REDOD method yields very similar deformation analysis results as the classical IWST method. The numerical tests were preceded by a theoretical part. The theoretical part describes the algorithm of classical robust methods. Particular attention was paid to the IWST method. In relation to classical robust methods, the optimization problem of the new REDOD method was formulated and the algorithm for its solution was derived. 相似文献
18.
Graph Theory Applications to GPS Networks 总被引：1，自引：0，他引：1
Gilad Even-Tzur 《GPS Solutions》2001,5(1):31-38
This paper aims at presenting a new perspective of GPS networks, based on principles from graph theory, which are used to
describe some connectivity properties of GPS networks. This is possible using a directed, connected graph and an incidence
matrix. As the incidence matrix maintains information about the GPS graphy, the fundamental set of independent loops in the
GPS network can be read from the incidence matrix. A spanning tree serves as a primary tool in locating the independent loops.
According to the loop law the coordinate differences around loops sum up to zero. The measured vectors contain random and
gross errors. Hence, if the entire independent loops sums are less than a certain threshold in three components, we can guarantee
that there are no gross errors in the observations. The fundamental set of independent loops, based on different spanning
trees, is used to detect gross errors in the observations without using adjustment computation. We use a small, simulated
network containing gross errors to demonstrate the proposed algorithm. ? 2001 John Wiley & Sons, Inc. 相似文献