关于数字城市地理空间框架建设的研究

随着我国城市化进程的发展,城市规模不断扩大,传统的城市管理方法远远不能满足现代城市管理的要求。随着＂数字中国＂战略的提出,＂数字城市＂应运而生。当前以＂数字城市＂为标志的城市信息化建设正在全国范围内迅速开展,网络基础设施和空间信息基础设施是数字城市建设中两个最为重要的基础设施,而地理空间框架是空间信息基础设施的重要组成部分,是经济社会信息化发展的基础支撑平台。     

基于小波分解的动态变形预报

阐述了小波变换和多分辨率分析的基本原理,简要地介绍了离线预报和在线预报两种不同的变形预报方式,并在此基础上提出了基于小波分解的动态变形预报的方法,并通过实际算例证明了这种方法的有效性。     

利用HJ-1A/1BCCD数据进行黄河凌汛监测

利用HJ-1A/1B卫星CCD数据进行黄河凌汛监测,提出了基于主成分分析和决策树的冰凌提取方法。实验结果显示,利用HJ-1A/1B卫星CCD数据能有效地提取出黄河的冰凌范围,对黄河凌汛监测具有较大的应用潜力。     

垂线偏差时间变化的精度估计

对于利用Vening-Meinesz微分公式计算垂线偏差随时间变化的测定精度进行了初步估计。通过对地形改正项的影响、代表误差的影响、远区域重力异常的影响等3种主要误差的分析和实际估计，论证了它们对计算结果的综合影响不超过0.01″，比铅垂线的时间变化0.1″要高一个量级。因此认为重力方法在实践中是可行的。     

基于地籍测量的惯性系统初始对准方法研究

地籍测量过程中具有静态、可调平和转位的特点,在静基座条件下,捷联惯性测量系统(SIMS)粗对准的失准角与卡尔曼滤波精对准的失准角相当,但是解析粗对准的方位角误差较大。本文在建立SIMS静基座粗对准误差方程的基础上,对影响解析粗对准精度的误差因素进行分析,提出利用光纤陀螺寻北仪进行四位置转位寻北的方法来估算方位角的精度,以提高方位角的估计精度。仿真结果表明,该方法可以有效地提高对准精度,适合于静基座外界干扰小的捷联式惯性测量系统上,在一定程度上可以直接作为对准的结果用于地籍测量定位解算。     

An automatic cycle-slip processing method and its precision analysis

On the basis of analyzing and researching the current algorithms of cycle-slip detection and correction, a new method of cycle-slip detection and correction is put forward in this paper, that is, a reasonable cycle-slip detection condition and algorithm with corresponding program COMPRE (COMpass PRE-processing) to detect and correct cycle-slip automatically, compared with GIPSY and GAMIT software, for example, it is proved that this method is effective and credible to cycle-slip detection and correction in GPS data pre-processing.     

Overlapped rectangle image representation and its application to exact legendre moments computation

Linear quadtree is a popular image representation method due to its convenient imaging procedure. However, the excessive emphasis on the symmetry of segmentation, i.e. dividing repeatedly a square into four equal sub-squares, makes linear quadtree not an optimal representation. In this paper, a no-loss image representation, referred to as Overlapped Rectangle Image Representation (ORIR), is presented to support fast image operations such as Legendre moments computation. The ORIR doesn’t importune the symmetry of segmentation, and it is capable of representing, by using an identical rectangle, the information of the pixels which are not even adjacent to each other in the sense of 4-neighbor and 8-neighbor. Hence, compared with the linear quadtree, the ORIR significantly reduces the number of rectangles required to represent an image. Based on the ORIR, an algorithm for exact Legendre moments computation is presented. The theoretical analysis and the experimental results show that the ORIR-based algorithm for exact Legendre moments computation is faster than the conventional exact algorithms.     

The decision of the optimal parameters in Markov random fields of images by genetic algorithm

This paper introduces the principle of genetic algorithm and the basic method of solving Markov random field parameters. Focusing on the shortcomings in present methods, a new method based on genetic algorithms is proposed to solve the parameters in the Markov random field. The detailed procedure is discussed. On the basis of the parameters solved by genetic algorithms, some experiments on classification of aerial images are given. Experimental results show that the proposed method is effective and the classification results are satisfactory.