利用四元数描述线阵CCD影像的空间后方交会

将四元数理论引入高分辨率线阵CCD影像的空间后方交会解算中,提出了一种利用四元数描述线阵CCD影像的单片空间后方交会方法。该方法利用四元数描述角度旋转矩阵,对严格的共线条件方程进行线性化,并采用正则化的数学方法克服线阵CCD影像外方位元素的相关性。试验证明了本算法的正确性和可靠性。     

空间测边交会法

介绍空间测边交会点的三种解算方法,提出空间测边交会法的适应范围,推介其精度估算公式,最后给出算例。     

三维空间实体间拓扑关系的矩阵描述

三维空间实体及其间拓扑关系的语义描述和形式化表达是三维GIS空间数据建模的重要理论基础。在k-维流形的三维空间实体形式化描述方法的基础上,根据三维空间实体的可剖分性,采用顾及维数的九元组描述框架,研究用于构成三维实体的k-单纯形(0≤k≤3)之间的拓扑空间关系,继而研究三维实体间的拓扑空间关系。     

基于光谱空间密度分析的边缘提取

针对传统的边缘提取方法大部分不适应高光谱数据的特点,提出了基于光谱空间密度分析边缘提取的思想。在分组主分量变换提取第一主分量作为特征维的基础上,采用面向对象的二次判别边缘的方法,通过立体判决将光谱空间中低密度超椭球体集群视为真实边缘点集群。试验表明,此方法是合理可行的。     

地理空间的数学定义及定位型地图符号的制约因素分析

给出了地理空间的数学定义,推导了制图区域、地图投影、制图物体及其在椭球面和地图平面上的定位等概念,揭示了同一平面位置上可以依制图目的的不同而分别表示多种事物的性质或量值的基本原理,阐释了对同一制图区域进行多专题制图的客观条件和物理基础。     

空间后交的一种新算法

根据矩阵理论,推导了空间后交的一种新算法.这种方法简单易行,无需线性化,其计算结果、精度与传统方法一致.     

论自动化和智能化空间对地观测数据处理系统的建立

未来１０年遥感对地观测技术的发展使得遥感影像的获取将走向多种传感器、多分辨率、多谱段和多时相。各国计划发射的对地观测卫星将使我们能够同时获取大量的、不同分辨率的、多谱段的可见光、红外、微波辐射和侧视雷达的数据。从而构成用于全球变化研究、环境监测、资源调查、灾害防治的多层次遥感影像金字塔。为了能够及时地、充分地利用这些对地观测数据来回答地学研究和人类社会发展所面临时的问题，更好地发挥遥感为国民经济建设服务的巨大潜力，必须从技术上建立一个自动化和智能化的空间对地观测数据处理系统。鉴于目前应用滞后于发射，软件落后于硬件的现实情况，本文简要叙述建立自动化和智能化空间对地观测数据处理系统的必要性和可能性，分析建立该系统的主要目标和需解决的关键技术并希望国家集中各有关方面的人力和财力来共同攻关，以建立和完善我国的地球科学信息系统，提高综合研究与深入分析的现代化水平。     

多层螺旋CT螺距、层厚和重建间隔关系及对图像质量影响

多层螺旋CT问世大大提高了扫描速度,一次扫描能同时获得多个层面的图像,并且有足够的信息量进行图像后处理,但扫描参数的正确选择至关重要。本文就多层螺旋CT的扫描及重建参数螺距、层厚及重建间隔及对图像的质量影响进行阐述。     

Nonlinear determinism in river flow: prediction as a possible indicator

Whether or not river flow exhibits nonlinear determinism remains an unresolved question. While studies on the use of nonlinear deterministic methods for modeling and prediction of river flow series are on the rise and the outcomes are encouraging, suspicions and criticisms of such studies continue to exist as well. An important reason for this situation is that the correlation dimension method, used as a nonlinear determinism identification tool in most of those studies, may possess certain limitations when applied to real river flow series, which are always finite and often short and also contaminated with noise (e.g. measurement error). In view of this, the present study addresses the issue of nonlinear determinism in river flow series using prediction as a possible indicator. This is done by (1) reviewing studies that have employed nonlinear deterministic methods (coupling phase‐space reconstruction and local approximation techniques) for river flow predictions and (2) identifying nonlinear determinism (or linear stochasticity) based on the level of prediction accuracy in general, and on the prediction accuracy against the phase‐space reconstruction parameters in particular (termed as the ‘inverse approach’). The results not only provide possible indications to the presence of nonlinear determinism in the river flow series studied, but also support, both qualitatively and quantitatively, the low correlation dimensions reported for such. Therefore, nonlinear deterministic methods are a viable complement to linear stochastic ones for studying river flow dynamics, if sufficient caution is exercised in their applications and in interpreting the outcomes. Copyright © 2006 John Wiley & Sons, Ltd.     

Dual models of pore spaces

We present a model for pore spaces that consists of two parts related by duality: (1) a decomposition of an open polyhedral pore space into open contractible pore bodies separated by relatively open interfaces and (2) a pore network that is homotopy equivalent to the pore space. The dual model is unique and free of parameters, but it relies on regularity conditions for the pore space. We show how to approximate any pore space by the interior of a polyhedral complex such that the regularity conditions are fulfilled. Thus, we are able to calculate the dual model from synthetic porous media and images of real porous media. The pore bodies are unions of relatively open Delaunay cells with respect to the corners of the pore boundary, and the pore network consists of certain at most two-dimensional (2D) Voronoi cells with respect to the corners of the pore boundary. The pore network describes the neighborhood relations between the pore bodies. In particular, any relatively open 2D Delaunay face f separating two pore bodies has a unique (relatively open) dual network edge. In our model, f is a pore throat only if it is hit by its dual network edge. Thus, as opposed to widespread intuition, any pore throat is convex, and adjacent pore bodies are not necessarily separated by pore throats. Due to the duality between the pore network and the decomposition of the pore space into pore bodies it is straightforward to store the geometrical properties of the pore bodies [pore throats] as attributes of the dual network vertices [edges]. Such an attributed network is used to perform 2D drainage simulations. The results agree very well with those from a pore-morphology based modeling approach performed directly on the digital image of a porous medium. Contractibility of the pore bodies and homotopy equivalence of the pore space and the pore network is proven using discrete Morse theory and the nerve theorem from combinatorial topology.