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gross error相关的网络例句

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与 gross error 相关的网络例句 [注:此内容来源于网络,仅供参考]

To the late 50s entered the computer photogrammetry, photogrammetry research areas has been greatly extended: If the analytical method aerial triangulation, on-line aerial triangulation, local area network adjustment, gross error detection theory, orthographic correction

到50年代末计算机开始进入摄影测量,摄影测量的研究领域得到了很大的扩展:如解析法空中三角测量、在线空中三角测量、区域网平差、粗差检测理论、正射纠正

DEM Edit is the key process of the DEM data produce. Based on the analysis of the DEM data Error, this paper using the lowpass filtering method to eliminate the Random Error of DEM data, using the partial slope information detection and whole trend surface detection to detect DEM Gross Error.

DEM编辑是DEM数据生产的重要环节,本文在分析DEM数据误差的基础上,采用低通滤波的方法降低随机误差的影响,利用局部坡度信息和整体趋势面方法,实现DEM粗差的自动检测。

So how to evaluate the precision and detect the gross error of field observation data for the CPⅢ plane network is one of the important contents in theoretical study and practice of measurement for the CPⅢ plane network.

如何评定CPⅢ平面网外业观测数据的精度,以及如何进行CPⅢ平面网外业观测数据的粗差探测,是CPⅢ网理论研究和测量实践的重要内容之一。

To detect gross error of maneuver and observation as soon as possible can geta better positioning result, while time delay often exists in the detection. This papergives a new method in real-time kinematic positioning of detecting maneuver andgross error as soon as there is gross error in maneuver and observation data.

为了在实时动态定位中尽可能快地检测出运动载体机动和观测数据何时出现粗差,文中提出了一种对机动和粗差检测的新方法。

To generate digital elevation model for gross error check, to check out the corresponding gross error.

对生成的数字高程模型进行粗差检查,能够检查出相应粗差。

Some methods and strategies of gross error detection are introduced. An improved NT-MT method for gross error detection is proposed.

系统介绍了显著误差检测方法和多显著误差检测策略,提出了一种新的显著误差检测方法:改进的NT-MT方法。

There are two methods of detecting gross error, one is to include the grosserror in numerical model and the other is to include the gross error in stochastic model.

粗差检测方法有把粗差归入函数模型的检测方法,也有把粗差归入随机模型的检测方法。

This paper examines system error,Observational Gross Error, and noise correlation in Kalman filter model of kinematicpositioning. The research conducted is of both theoretical and practical relevance.

论文针对动态定位中卡尔曼滤波模型的系统误差,测量粗差,噪声相关性等问题的研究,具有重要的理论与实际意义。

This paper gives the analysis formulas and correction algorithms for influence on thesystem error, Observational Gross Error and the noise correlation, which enriches theKalman filter theory, and at the same time raises the capabilities of kinematicpositioning and navigation.

论文对于系统误差,测量粗差,噪声时间的相关性对动态定位结果的影响,给出了其相应的解析式和校正方法,丰富了卡尔曼滤波理论,同时提高了动态定位和导航的能力。

It's pointed out that soft sensor will play more important role in field bus network control system. According to this, a crude solution was addressed. At last, we point out that soft sensor technology must used to build an information warehouse for the whole enterprise, combined with data fusion, data warehouse, data rectification and other related technologies. The main contributions of this dissertation are as follows: The background, requirement, and application situation of soft sensors are expounded, the theories, methods and skills of soft sensing technology are analyzed, and the fruits and problems in current soft sensor technologies are summarized. Some new methods of soft sensor is proposed: A principal component analysis-based secondary variable selection method are proposed; A new conception which modeling data should have gross error detection is addressed, and then a cluster analysis-based modeling data gross error detection method is given.

本文的主要贡献有:对软测量技术根据实践的要求进行了一定的理论研究,针对具体问题提出了新的方法:讨论了辅助变量选择问题,研究了基于主元分析的辅助变量选择方法,该方法克服了传统方法只能利用数学模型产生的仿真数据进行最优辅助变量选择的缺点,可以根据历史数据进行辅助变量选择;提出了建模数据显著误差侦破的概念,指出传统的显著误差侦破研究的是已知过程数学模型的情况,而建模时数学模型是未知的,但是直接来自现场的数据并不能保证不含显著误差,并用基于聚类分析的方法解决了该问题,该方法利用聚类分析原理,直接面对过程数据,不需以过程模型为基础,在此基础上给出了软测量建模过程中样本数据的处理方法。

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