GALILEO系统仿真与分析

本文着重阐述了GALILEO仿真系统星座和误差模型的构建过程,利用该系统进行DOP值分析并通过定位解算验证了GALILEO系统的性能指标。通过与GPS系统性能指标进行比较,得出GALILEO系统的星座设计具有较好的DOP值分布特性,定位精度优于GPS定位精度。在进行差分定位时,其误差贡献比较大的是接收机噪声和卫星钟差,因此提高差分定位的关键是降低接收机的噪声水平和提高卫星钟差预报精度。     

Effect of Multipoint Heterogeneity on Nonlinear Transformations for Geological Modeling： Porosity-Permeability Relations Revisited

An analysis of statistical expected values for transformations is performed in this study to quantify the effect of heterogeneity on spatial geological modeling and evaluations. Algebraic transformations are frequently applied to data from logging to allow for the modeling of geological properties. Transformations may be powers, products, and exponential operations which are commonly used in well-known relations (e.g., porosity-permeability transforms). The results of this study show that correct computations must account for residual transformation terms which arise due to lack of independence among heterogeneous geological properties. In the case of an exponential porosity-permeability transform, the values may be positive. This proves that a simple exponential model back-transformed from linear regression underestimates permeability. In the case of transformations involving two or more properties, residual terms may represent the contribution of heterogeneous components which occur when properties vary together, regardless of a pair-wise linear independence. A consequence of power- and product-transform models is that regression equationswithin those transformations need corrections via residual cumulants. A generalization of this result isthat transformations of multivariate spatial attributes require multiple-point random variable relations. This analysis provides practical solutions leading to a methodology for nonlinear modeling using correct back transformations in geology.     

改进的自适应遗传算法在遥感图像分割中的应用

为了自动确定遥感图像分割的最佳阈值,本文提出了一种改进的自适应遗传算法,并利用该算法对二维Otsu图像阈值分割函数进行了全局优化,提高了分割闻值的求解速度。该算法能够根据个体适应度大小和群体的分散程度自动调整遗传控制参数,从而能够在保持群体多样性的同时加快收敛速度,克服基本遗传算法的收敛性差、易早熟问题。实验结果表明,该算法具有良好的收敛速度和稳定性,达到较好的图像分割效果,大大缩短了计算时间。     

基于DEM的SAR图像模拟

首先阐述了研究基于数字高程模型(DEM)的SAR图像模拟的重要性。然后针对SAR图像的几何特点,并顾及地面坡度、成像距离等因素对雷达波后向散射强度的影响,设计了基于强度积分的SAR图像模拟方案。根据Leberl构像模型计算SAR图像的像点坐标,采用强度积分策略对各点处的强度进行模拟,并进行归一化处理。通过仿真实验得到了满意的SAR模拟图像,验证了该模拟方案的正确性和有效性。     

CA-AR模型在人口空间场属性变化模拟中的应用

本文结合CA(cellular automata)和AR(auto-regression)提出模拟人口空间场属性变化的CA-AR模型,以1991～2006年成都市各区、县市的人口统计数据和成都市行政区划图为基础,将行政单元转化为单元网格,分别建立成都市主城区各单元格的CA-AR模型。结果显示,模拟结果的绝对误差和相对误差都较小,模拟精度较高,模型的显著性水平都比较高,说明CA-AR模型用于模拟人口空间场的人口数量变化是可行的。     

一种新型遥感影像快速匹配算法(英文)

An iterative algorithm to calculate mutual correlation using hierarchical key points and the search space mark principle is proposed. An effective algorithm is designed to improve the matching speed. By hierarchical key point algorithm and mutual correlation coefficients of the matching images, the important points can be iteratively calculated in the images hierarchically, and the correlation coefficient can be obtained with satisfactory precision. Massive spots in the parameter space which are impossible to match can be removed by the search space mark principle. Two approximate continuities in the correlation image matching process, the image gray level distribution continuity and the correlation coefficient value in the parameter space continuity, are considered in the method. The experiments show that the new algorithm can greatly enhance matching speed and achieve accurate matching results.     

单幅遥感影像三维重建辅助加密DEM数据研究

介绍了一种基于单幅遥感影像三维重建的DEM数据加密方法,提出了用单幅高分辨率遥感影像三维重建方法获得高程格网内地表形态,实现了获取更高分辨率的数字高程模型.     

城市框架数据的更新模式及应用研究

分析了利用竣工测量数据、VRS技术及高分辨率影像更新城市框架数据三种模式的可行性,给出了适合青岛地区框架数据的更新方案.     

一种Brovey变换图像融合法的改进算法

分析了的Brovey变换融合算法,提出了一种新的基于Brovey变换、对数变换亮度调整的图像融合方法,试验数据的对比和分析证明了其保留多光谱影像的光谱信息.     

基于物方影像匹配的DEM聚类变化检测

提出了DEM的变化检测问题,采用了基于密度的聚类分析方法对匹配所得的初始变化区域进行分析,实现了地表高程变化区域的检测.