Recovery of bathymetry from altimeter data

At present, there exist two methods used to recover the bathymetry from altimeter data, i. e. the deterministic method and the stochastic method. In this paper, the principles of the two methods are introduced first. Then according to the theory of least-square collocation, a modified statistical model for recovering bathymetry from altimeter data is proposed. The new model has been used for computing the ocean depth in the South China Sea from altimeter-derived gravity anomalies. Finally the predicted depths are compared with the ship-borne depth. It shows that they agree with each other very well.     

Cartographically Wordy but not Necessarily Worthy

Abstract

A novel method called multidirectional visibility index (MVI) has been developed and verified. The MVI improves standard cartographic analytical shading with a number of enhancements to topographic detail and prominent structures, i.e. the portrayal of flat areas in lighter tones, the accentuation of morphologic edges, and the multiscale visualisation of morphologic terrain features. The procedure requires a digital elevation model (DEM) and involves the following steps: visibility mask computation; the respective multidirectional altering of the azimuth and elevation angle; the generation of continuous grid MVIs that indicate upper/lower views, quasi-slope, and relative relief; and an appropriate visualisation of the relevant MVI as a standalone technique or in combination with standard hill-shaded relief. The modelling parameters are robust and therefore highly adaptive to different landforms.     

Assessing the Effectiveness and Efficiency of Map Colour for Colour Impairments Using an Eye-tracking Approach

Colour impairments influences access to geographical information which is usually represented by colour maps. Three dimensions of colour: Hue, Saturation and Value (HSV), are intuitive and most critical visual variables in map design. In this paper, we specifically focus on colour deficiency of red-green colour impairments. A controlled experiment was designed and conducted to explore how three colour dimensions (HSV) affect the abilities of people with normal colour vision or with red-green colour impairments to distinguish colours in maps. An eye-tracking approach was applied to quantify the accuracy and response time by capturing user eye movements to analyse the effectiveness and efficiency. In this study, we used one section of the administrative map of Hebei Province to test participant responses to area features. Differences of effectiveness and efficiency across normal colour vision and red-green colour impairments were compared. Multiple comparisons among Hue, Saturation and Value were analysed. Results show that for both normal colour vision and red-green colour impairments, Hue is the most differentiable than Saturation and Value. Saturation and Value are at the same level to be differentiated and more difficult to be distinguished. Guidelines of designing maps for both normal colour vision and red-green colour impairments were derived. The results of this study can be helpful to improve the map designs for colour deficiency.     

基于最小二乘配置的三维空间坐标转换

在求解未知转换参数时,鉴于公共点坐标本身的误差,提出利用最小二乘配置法进行空间坐标转换,即将公共点本身坐标作为随机参数,把转换参数作为非随机参数进行处理,最后通过实验对比分析表明,该方法明显优于一般坐标转换方法。     

抗差最小二乘配置在数字化地图几何纠正中的应用讨论

抗差估计具有较好的抗拒异常观测值及粗差的能力,而最小二乘配置又能较好地处理系统误差,本文结合两者的优点,利用抗差最小二乘配置对数字化地图进行几何纠正,其中对协方差函数采用抗差拟合,得到了较好的结果。实验证明在GIS数据处理的扫描数字化地图几何纠正中,抗差最小二乘配置在抗拒异常值和处理系统误差方面优于单纯的最小二乘估计和单纯的最小二乘配置方法。     

建筑物沉降监测专家分析系统设计与开发

建筑物沉降监测数据分析与处理是一项较复杂的系统工程,本文从自动化处理观点出发,介绍了设计沉降监测专家分析系统的咨询新理念和主体思想,探讨了开发选用的数学模型与开发过程,以期为相关变形监测与分析提供帮助和启示.     

利用GPS水准点精化局部CQG2000

CQG2000模型的精度仍不能满足中、大比例尺的测图需要,如何充分利用现有成果,提高其价值和实用性,是目前需要迫切解决的问题。本文提出了通过加密GPS水准点来提高现有CQG2000精度的方法,并研究了GPS水准点数目和分布对提高结果的影响。     

基于最小二乘配置法的BP神经网络GPS高呈异常拟合方法研究

传统的BP神经网络在GPS高程异常拟合应用有其一定的局限性,特别是在对于外推高程异常值方面,传统的BP神经网络的不足表现得尤为明显.针对高程异常的特性,既有趋势性也有随机性,结合BP神经网络的优点,提出一种改进型的BP神经网络高程异常拟合方法,利用最小二乘配置法综合考虑高程异常的趋势性和随机性的特点,采用BP神经网络方...     

超高阶次勒让德函数递推计算中的压缩因子和Horner求和技术

摘要：超高阶次（如2000阶次）缔合勒让德函数值的递推计算,在接近两极时达到极大的数量级（超过10的数千次方）,这导致现有递推方法在计算缔合勒让德函数值及其导数值时失效。我们通过插入压缩因子技术,提出一个修改的递推算法,并结合使用Horner求和技术计算球谐级数的部分和。试验表明,该算法至少可以计算到3600完全阶次的球谐级数式,优于现有结果。     

地图扫描矢量化误差的最小二乘配置法处理研究

屏幕扫描数字化是地图数字化的常用方法。在数字化过程中,由于地图本身的变形、扫描仪分辨率等系统误差会影响数字化的结果。仿射变换是实现栅格数据向矢量化数据转换的常用方法之一,研究表明基于最小二乘的仿射变换只可以消除整体变形,而不能消除局部变形。为此作者提出采用最小二乘配置。采用最小二乘配置可以在计算转换参数的同时估计局部系统变形信号,可以消除或减弱以上误差的影响,改善数字化精度。实例分析表明,是提高扫描数字化的有效方法。