The determination of potential difference by the joint application of measured and synthetical gravity data: a case study in Hungary

In an elementary approach every geometrical height difference between the staff points of a levelling line should have a corresponding average g value for the determination of potential difference in the Earth’s gravity field. In practice this condition requires as many gravity data as the number of staff points if linear variation of g is assumed between them. Because of the expensive fieldwork, the necessary data should be supplied from different sources. This study proposes an alternative solution, which is proved at a test bed located in the Mecsek Mountains, Southwest Hungary, where a detailed gravity survey, as dense as the staff point density (~1 point/34 m), is available along a 4.3-km-long levelling line. In the first part of the paper the effect of point density of gravity data on the accuracy of potential difference is investigated. The average g value is simply derived from two neighbouring g measurements along the levelling line, which are incrementally decimated in the consecutive turns of processing. The results show that the error of the potential difference between the endpoints of the line exceeds 0.1 mm in terms of length unit if the sampling distance is greater than 2 km. Thereafter, a suitable method for the densification of the decimated g measurements is provided. It is based on forward gravity modelling utilising a high-resolution digital terrain model, the normal gravity and the complete Bouguer anomalies. The test shows that the error is only in the order of 10⁻³mm even if the sampling distance of g measurements is 4 km. As a component of the error sources of levelling, the ambiguity of the levelled height difference which is the Euclidean distance between the inclined equipotential surfaces is also investigated. Although its effect accumulated along the test line is almost zero, it reaches 0.15 mm in a 1-km-long intermediate section of the line.     

山区遥感图像自动分类研究——以西南地区为例(英文)

In mountainous areas, it is the undulant terrain, various types of geomorphic and land use that make the remote sensing images great metamorphism. Moreover, due to the elevation, there are many areas covered with shadow, clouds and snow that make the images more inaccurate. As a result, it would be very difficult to carry out auto-classification of RS images in these areas. The study took Southwest China as the case study area and the TM images, SPOT images as the basic information sources assisted by the a...     

地磁匹配导航算法研究

提出一种MonteCarlo方法和均方差算法（MSD）相结合的匹配算法,并将本算法用于地磁匹配导航中。该方法根据惯性导航系统指示的位置从地磁图上提取参考地磁数据,将地磁测量数据进行若干次随机干扰后和参考地磁数据使用MSD算法进行匹配,得到若干个匹配位置,取其均值作为最终匹配位置。仿真结果表明本算法可行。     

一种获取Klobuchar电离层改正模型的新方法

介绍了利用松弛搜索法对Klobuchar模型的参数进行拟合,并利用IGS提供的IONEX格式对全球电离层数据进行试验分析,获得了可靠的结果。     

GPS-RTK用于矿山高精度沉陷监测的可行性研究

针对复杂地表条件下采用水准测量和导线测量等常规方式进行地表变形周期观测、任务量大甚至无法实施等问题,提出了建立研究区域的似大地水准面精化模型,同时采用GPS-RTK技术获取观测站三维空间信息,进而获得概率积分法预计参数。最后以内蒙古准格尔旗某煤矿的生产实践说明该技术的有效性和可行性,极大地提高了工作效率,为保护煤柱的留设提供了科学的依据。     

平坦地区转换GPS高程的混合转换方法

简要介绍了转换GPS高程的二次曲面拟合法和神经网络方法。然而 ,这 2种方法都有缺点 ,介绍的CF&NNM方法充分利用了 2者的优点 ,通过 2个平坦地区的工程实例 ,证实该方法的有效性 ,并得到一些有工程应用价值的结论。     

拟合推估新解之一——两步解法

拟合推估的一般模式AmnmZ BrnrY=L Δ（1）通常用双拟合法则（2）求解，它有一定的缺陷^[1] 。本文提出一种解法，分为2步：1、将Y项并入Δ，在单拟合下求X的优估值X。2、把X项纳入L，Y作确定未知量，也在单拟合下求其估值Y。     

带权约束参数平差在工程控制网优化中的应用

介绍用带权约束平差原理编制的工程控制网试验修正法设计和平差程序,并用于设计工程导线和平差变形观测控制网等实际工程的例子,据此提供一些结论和建议.     

基准尺定向法在多波束天线测量中的应用

通过对多波束天线数学模型的介绍和基准尺定向法两种方案的分析,得出最佳定向方案,为多波束天线的安装提供了有效的定向方法。     

Development of a data mining method for land control

Land resources are facing crises of being misused, especially for an intersection area between town and country, and land control has to be enforced. This paper presents a development of data mining method for land control. A vector-match method for the prerequisite of data mining i. e., data cleaning is proposed, which deals with both character and numeric data via vectorizing character-string and matching number. A minimal decision algorithm of rough set is used to discover the knowledge hidden in the data warehouse. In order to monitor land use dynamically and accurately, it is suggested to set up a real-time land control system based on GPS, digital photogrammetry and online data mining. Finally, the means is applied in the intersection area between town and country of Wuhan city, and a set of knowledge about land control is discovered.