数字哈密地理信息公共服务平台设计与实现

以数字哈密地理信息公共服务平台建设为例,总结研究了地理信息公共服务平台设计和建设方案。通过信息提取、扩充、重组等整合处理建立适应信息时代要求的公共数据集,开发具备信息集成、浏览查询、统计分析、互联互通以及二次开发等功能的分布式服务系统,配置完善的软件、硬件和网络支撑环境,建成权威的地理信息公共平台,实现地理空间信息和其他专题信息的实时交换和共享,服务和推进政府及各部门的信息化建设。     

基于Spark Streaming的实时流数据处理模型化研究与实现

通过研究与分析,选取Spark Streaming技术实现对P实时流数据的处理.同时,研究出一套模型化的方式,实现动态装配软件的执行过程;并通过具体的实例展示了两者结合后,在数据处理的易用性、性能及吞吐量方面,都得到了大幅提升.     

Error analysis of the 3D similarity coordinate transformation

The 3D similarity coordinate transformation with the Gauss–Helmert error model is investigated. The first-order error analysis of an analytical least-squares solution to this problem is developed in detail. While additive errors are assumed in the translation and scale estimates, a 3 × 1 multiplicative error vector is defined to effectively parameterize the rotation matrix estimation error. The propagation of the errors in the coordinate measurements to the errors in the estimated transformation parameters is derived step-by-step, and the formulae for calculating the variance–covariance matrix of the estimated parameters are presented.     

Algorithm for Harmonic Tidal Analysis along T/P Tracks： Taking Differences of Observed Sea Surface Heights at Adjacent Points as Observations

An algorithm （differential mode） is presented for the improvement of harmonic tidal analysis along T/P tracks, in which the differences between the observed sea surface heights at adjacent points are taken as observations. Also, the observation equations are constrained with the results of the crossover analysis; the parameter estimations are performed at 0.1° latitude intervals by the least squares. Cycle 10 to 330 T/P altimeter data covering the China Sea and the Northwest Pacific Ocean （2°-50° N,105°-150° E） are adopted for a refined along-track harmonic tidal analysis, and harmonic constants of 12 constituents in 8 474 points are obtained, which indicates that the algorithm can efficiently remove non-tidal effects in the altimeter observations, and improve the precision of tide parameters. Moreover, parameters along altimetry tracks represent a smoother distribution than those obtained by traditional algorithms. The root mean squares of the fitting errors between the tidal height model and the observations reduce from 11 cm to 1.3 cm.     

基于交互多模型的水下目标跟踪方法

According to the requirements of real-time performance and reliability in underwater maneuvering target tracking as well as clarifying motion features of the underwater target, an interacting multiple model algorithm based on fuzzy logic inference （FIMM） is proposed. Maneuvering patterns of the target are represented by model sets, including the constant velocity model （CA）, the Singer mode~, and the nearly constant speed horizontal-turn model （HT） in FIMM technology. The simulation results show that compared to conventional IMM, the reliability and real-time performance of underwater target tracking can be improved by FIMM algorithm.     

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.     

Small-world characteristics on transportation networks: a perspective from network autocorrelation

Studies on small-world networks have received intensive interdisciplinary attention during the past several years. It is well-known among researchers that a small-world network is often characterized by high connectivity and clustering, but so far there exist few effective approaches to evaluate small-world properties, especially for spatial networks. This paper proposes a method to examine the small-world properties of spatial networks from the perspective of network autocorrelation. Two network autocorrelation statistics, Moran’s I and Getis–Ord’s G, are used to monitor the structural properties of networks in a process of “rewiring” networks from a regular to a random network. We discovered that Moran’s I and Getis–Ord’s G tend to converge and have relatively low values when properties of small-world networks emerge. Three transportation networks at the national, metropolitan, and intra-city levels are analyzed using this approach. It is found that spatial networks at these three scales possess small-world properties when the correlation lag distances reach certain thresholds, implying that the manifestation of small-world phenomena result from the interplay between the network structure and the dynamics taking place on the network.      

全球地形数据多尺度晕渲及服务研究

采用地形分块晕渲的策略,根据不同地形尺度,采用不同的晕渲方法对全球地形数据进行多尺度晕渲。在此基础上,以WCS方式提供全球地形晕渲数据服务,最后通过试验对上述方法的有效性进行验证。     

面向多层次公众认知需求的土地利用规划信息重构模型

针对规划公示信息的多层次公众认知需求,利用本体思想解析土地利用规划信息,构建有向图为框架的信息重构模型;设计模型要素的关系数据结构,实现基于图遍历的信息检索与语义表达算法。以海南省昌江黎族自治县土地利用总体规划成果(2006～2020年)为实例,验证了模型的有效性。     

基于多分辨率分析的LiDAR数据处理与可视化

基于多分辨率分析的数据滤波算法对于地形变化单一但地物和地形区别明显的场景,地形多变但连续且地物和地形区别明显的场景具有非常优越的滤波效果.研究基于多分辨率分析的数据滤波算法的基本原理,在Visual C++6.0平台上编程实现该算法,建立LiDAR数据处理与可视化系统,详细介绍各功能模块的实现方法和功能,实现由LiDA...