等角投影数值变换的正型多项式方法及其应用分析

数值变换是地图投影变换中常用的方法,鉴于二元n次多项式直接求解法针对性差、计算效率低、稳定性差等缺点,针对等角投影采用正型多项式法进行数值变换,本文着重介绍正型多项式法及其应用。     

地图投影数值变换方法综合评述

归纳总结地图投影数值变换的常用方法,并在实践基础上围绕数值变换的精度及稳定性等核心问题对各种方法作一综合评述.     

地图投影数值变换方法综合评述

归纳总结地图投影数值变换的常用方法，并在实践基础上围绕数值变换的精度及稳定性等核心问题对各种方法作一综述评述。     

影响地图投影多项式变换精度的若干因素分析

地图投影变换是数字地图制图和地理信息系统中进行地理空间数据处理的重要步骤和过程,而多项式变换又是地图投影数值变换中最常用和最有效的方法之一。提出了影响地图投影多项式变换精度的若干因素,深入分析了这些因素对多项式变换精度的影响,最后得出了提高多项式投影变换精度的相关结论。     

影响地图投影多项式变换精度的若干因素分析

地图投影变换是数字地图制图和地理信息系统中进行地理空间数据处理的重要步骤和过程,而多项式变换又是地图投影数值变换中最常用和最有效的方法之一。提出了影响地图投影多项式变换精度的若干因素,深入分析了这些因素对多项式变换精度的影响,最后得出了提高多项式投影变换精度的相关结论。     

土壤性质指标光谱反演数据变换模型研究

本文采用土壤含铁量和有机质含量作为性质指标,对反射率作常规模型变换,变换后的数值与性质指标的相关系数最大值有一定提高。又进行反射率一阶微分乘以平方根一阶微分等几种创新模型变换,以及将变换效果较好的个别波段选出进行交叉组合模型变换,变换后的数值与性质指标的相关系数最大值又有一定提高。实验证明,反射率一阶微分乘以平方根一阶微分模型以及选出波段交叉组合变换模型可以有效提高反射率与土壤性质指标的相关性。     

土壤性质指标光谱反演数据变换模型研究

本文采用土壤含铁量和有机质含量作为性质指标,对反射率作常规模型变换,变换后的数值与性质指标的相关系数最大值有一定提高。又进行反射率一阶微分乘以平方根一阶微分等几种创新模型变换,以及将变换效果较好的个别波段选出进行交叉组合模型变换,变换后的数值与性质指标的相关系数最大值又有一定提高。实验证明,反射率一阶微分乘以平方根一阶微分模型以及选出波段交叉组合变换模型可以有效提高反射率与土壤性质指标的相关性。     

地图投影解析变换的数值实现方法

系统阐述了地图投影、地图投影变换,以地图投影及其变换为基础,采用Visual C++6.0作为软件平台,开发了GIS的地图投影变换软件。本系统分为解析正算和解析反算两部分,其中解析反算先用数值变换方法求得相应变换系数,然后再按照解析变换的方法实现相应功能,这也是本文的主要思想。同时本文以公式较为简单的墨卡托投影和公式较为复杂的圆锥投影为例说明了以上过程。该系统不仅可以单独使用,也可以与其他GIS软件进行接口,增强GIS的地图投影变换功能。     

高斯投影复变换的数值计算方法

高斯投影复变换的数值计算简单快捷,具有重要的工程应用价值.从数值计算角度出发,使用计算机代数系统Mathcad,Matlab以及Mathematica对高斯投影复变换进行了改进:只需建立正算变换计算式而不再需要建立反算变换计算式.对于复方程,利用系统的求根函数直接求解.对于复积分,研究了积分级数分析法、椭圆积分函数法及...     

基于神经网络的投影变换方法

针对数值变换法的局限性，提出一种数值变换与神经网络模型相结合的混合变换法。该法能有效消除模型误差的影响。     

SARC model for three-dimensional coordinate transformation

In this paper, a transformation model named SARC (static-filter adjustment with restricted condition) is presented, which is more practical and more rigorous in theory and fitting any angle of rotation parameter. The transformation procedure is divided into 4 steps: ¹ the original and object coordinates can be regarded as observations with errors: ² rigorous formula is firstly deduced in order to compute the first approximation of the transformation parameters by use of four common points and the transformation equation is linearized; ³ calculate the most probable values and variances of the seven transformation parameters by SARC model; {ie84-1} to demonstrate validity of SARC, an example is given.     

SARC model for three-dimensional coordinate transformation

IntroductionThree coordinate transformation models, Bursa-Wolf, Molodensky and WTUSM[1]are generallyused in 3D coordinate transformation. They are lin-ear models which have seven parametersΔX,ΔY,ΔZ,θ,,ψ[2]. Referecne [2] improved these line-ar mode     

罗德里格矩阵在坐标系转换中的应用

在大旋转角度的坐标系转换中,线性转换模型的旋转参数线性化复杂,计算量大,误差大。根据反对称矩阵和罗德里格矩阵的性质,推导了基于罗德里格矩阵的坐标系转换模型。该模型用反对称矩阵中的3个独立参数代替旋转矩阵中9个相关参数,避免了旋转参数的线性化。模型简单、计算简便,通过实验计算,精度较高。     

Combined Method of Datum Transformation Between Different Coordinate Systems

The similarity transformation model between different coordinate systems is not accurate enough to describe the discrepancy of them.Therefore,the coordinate transformation from the coordinate frame with poor accuracy to that with high accuracy caanot guarantee a high precision of transformation.In this paper,a combined method of similarity tranformation and regressive approximating is presented.The local error accumulation and distortion are taken into consideration and the precision of coordinate system is improved by using the recommended method.     

Combined method of datum transformation between different coordinate systems

The similarity transformation model between different coordinate systems is not accurate enough to describe the discrepancy of them. Therefore, the coordinate transformation from the coordinate frame with poor accuracy to that with high accuracy cannot guarantee a high precision of transformation. In this paper, a combined method of similarity transformation and regressive approximating is presented. The local error accumulation and distortion are taken into consideration and the precision of coordinate system is improved by using the recommended method.     

GIS中开放式地图投影变换组件的设计

针对现有地图投影变换系统大都是内含于特定软件中的状况 ,本文提出顺应GIS向组件GIS和开放GIS发展的潮流 ,设计并实现了一个基于COM组件技术的规范通用的开放式地图投影变换组件。参照OpenGIS协会发布的有关地图投影变换的接口规范 ,设计了基于COM的开放式地图投影变换组件的接口、组件对象及总体构架 ;详细分析了地图投影变换的理论基础及方法 ,并选择适合计算机高效实现的反解变换法 ,实现了该地图投影变换组件。     

投影相似变换的无人机影像拼接

针对当前无人机遥感影像存在的成像范围小、视差角度大的缺点,该文提出一种改进的投影-相似变换方法来进行无人机遥感图像的拼接:通过对初始获得的单应矩阵进行改进,平滑推导重叠区域的投影变换到非重叠区域形成相似变换;该变换同时考虑拼接过程中图像重叠区域的配准精度和非重叠区域的视场一致。实验结果表明,该方法的拼接性能优于传统拼接方法。     

Applications of Lodrigues Matrix in 3D Coordinate Transformation

Three transformation models (Bursa-Wolf, Molodensky, and WTUSM) are generally used between two data systems transformation. The linear models are used when the rotation angles are small; however, when the rotation angles get bigger, model errors will be produced. In this paper, we present a method with three main terms: ① the traditional rotation angles θ , φ ,ψ are substituted with a , b, c which are three re-spective values in the anti-symmetrical or Lodrigues matrix; ② directly and accurately calculating the formula of seven parameters in any value of rotation angles; and ③ a corresponding adjustment model is established. This method does not use the triangle function. Instead it uses addition, subtraction, multiplication and division, and the complexity of the equation is reduced, making the calculation easy and quick.     

Applications of Lodrigues matrix in 3D coordinate transformation

Three transformation models (Bursa-Wolf, Molodensky, and WTUSM) are generally used between two data systems transformation. The linear models are used when the rotation angles are small; however, when the rotation angles get bigger, model errors will be produced. In this paper, we present a method with three main terms: the traditional ? rotation angles θ, φ, ψ are substituted with a,b,c which are three respective values in the anti-symmetrical or Lodrigues matrix; ? directly and accurately calculating the formula of seven parameters in any value of rotation angles; and ? a corresponding adjustment model is established. This method does not use the triangle function. Instead it uses addition, subtraction, multiplication and division, and the complexity of the equation is reduced, making the calculation easy and quick.