引入粗差探测的外方位元素的解算。
The gross error detection scheme is introduced into the computation of exterior elements.
粗差探测是测量数据处理、测量质量控制的重要研究主题之一。
Data Snooping or outlier detection is a main research subject in measurement data processing and measurement quality controlling.
针对一大型矿山控制网的实际平差过程，研究粗差探测的效果。
Then based on the practical adjustment of a large mining control network , the effect of the applicattion of data-snooping is discussed.
本文将粗差归入随机模型，提出了基于方差膨胀模型的粗差探测方法。
Ascribing gross errors to random model, this paper puts forward a detection method of multiple gross errors based on variance inflation model.
首先分析真误差与残差的关系，并以此关系为基础，提出一种新的、有特色的多维粗差探测与定位方法。
Based on the relation between true error and residual error, the author puts forward a characteristic method for detecting and locating multidimensional gross errors.
在高程转换系统中首先对输入的数据进行粗差探测，剔除可能存在粗差的观测数据，从而提高拟合结果的可靠性。
In the elevation conversion system, at first detected the gross errors of inputting data and then removed it, enhanced the reliability of the fitting results.
GPS高程转换中，大地高的精度将直接影响转换后正常高的精度，为此大地高的粗差探测是比较重要的一个环节。
The accuracy of Orthometric Height will be directly affected by ellipsoidal height precision during GPS height transformation, therefore, the detection of gross error is very important.
目前，有很多种用于周跳探测的方法，其探测原理都是建立在粗差理论基础上的，首先由观测数据组成适当的检验序列，使得周跳在该检验序列中以粗差的形式表现出来；
The method of difference, geometry-free combination, melbourne-wubbena combination for cycle slip detecting are analyzed in this paper. Then the test of cycle slip using COMPASS observations is made.
通过分析卡尔曼滤波模型误差与预测残差向量之间的关系，提出了对粗差进行探测的方法，并通过一个实例说明了该方法的有效性。
By analyzing the relationship of the Kalman filtering model errors and the forecasting residual vector, a method of detecting gross errors was proposed.
通过分析卡尔曼滤波模型误差与预测残差向量之间的关系，提出了对粗差进行探测的方法，并通过一个实例说明了该方法的有效性。
By analyzing the relationship of the Kalman filtering model errors and the forecasting residual vector, a method of detecting gross errors was proposed.
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