基于R树索引的三维场景细节层次自适应控制方法

针对大规模三维城市建模需要,介绍一种基于三维R树索引的多细节层次（简称LOD）管理方法,从叶节点层向根节点自动生成LOD场景,并设计实现LOD检索的算法。通过试验分析,证明本文的LOD定义参数能够定量控制三维场景中的渲染目标数目,进而实现三维场景的自适应可视化方法,尤其适合于建筑物和树木类型的地物目标。     

一种基于人工免疫的图像分割算法

图像二维熵分割,一直因耗时长而限制了实际应用。本文借鉴生物免疫思想,提出二维熵图像分割的人工免疫算法。在克隆选择算法中引入疫苗的免疫接种,用于优化最优分割阈值对的搜索过程。在遥感高分辨率图像上的实验显示,该算法不仅能准确搜索到最优阈值对,而且计算时间只有传统算法的1.8%。该算法也验证了人工免疫思想用于图像分割的可行性和有效性。     

上海市集中测绘成果管理系统的建设与维护

本文在深入调研上海市集中测绘成果管理系统的基础上,通过对系统的建立与长期维护的总结,简要的介绍了系统实现的功能与系统架构,总结了系统建设过程中的思路与做法。着重阐述了系统在整合测绘处理与成果管理、保持基础数据的现势性方面所取得的成果,总结了系统在建设与使用过程中的优缺点,为其它地区建立或改造测绘成果系统提供借鉴。     

Acquisition of Directional Parameters in Aerial Images Based on DEM Data

1　Extraction of the steep curve mapThe steep curve is defined as connection linefrom zero cross points which are produced fromthe convolution of Laplace ( LOG) filtration toDEM. Firstly, the elevation data from DEM areprocessed with LOG convolution and zero cross.The sampling formula is 2G(i,j) =12πσ6(r2 -2σ2)e-r2/2σ2 (1)where -M≤i≤M,-M≤j≤M,r2=i2+j2; M isthe filtration radius, nearly equaling to 5.1σ2; pre diction errorσis set to 4. Suppose that e[i,j] is asmall …     

Extending self-organizing maps for supervised classification of remotely sensed data

An extended self-organizing map for supervised classification is proposed in this paper. Unlike other traditional SOMs, the model has an input layer, a Kohonen layer, and an output layer. The number of neurons in the input layer depends on the dimensionality of input patterns. The number of neurons in the output layer equals the number of the desired classes. The number of neurons in the Kohonen layer may be a few to several thousands, which depends on the complexity of classification problems and the classification precision. Each training sample is expressed by a pair of vectors ： an input vector and a class codebook vector. When a training sample is input into the model, Kohonen＇s competitive learning rule is applied to selecting the winning neuron from the Kohouen layer and the weight coefficients connecting all the neurons in the input layer with both the winning neuron and its neighbors in the Kohonen layer are modified to be closer to the input vector, and those connecting all the neurons around the winning neuron within a certain diameter in the Kohonen layer with all the neurons in the output layer are adjusted to be closer to the class codebook vector. If the number of training sam- ples is sufficiently large and the learning epochs iterate enough times, the model will be able to serve as a supervised classifier. The model has been tentatively applied to the supervised classification of multispectral remotely sensed data. The author compared the performances of the extended SOM and BPN in remotely sensed data classification. The investigation manifests that the extended SOM is feasible for supervised classification.     

Distribution Characteristics of Effective Source Rocks and Their Control on Hydrocarbon Accumulation: A Case Study from the Dongying Sag, Eastern China

The exploration conducted in the Bohai Bay basin, eastern China has demonstrated that the abundant petroleum resources have close affinities to the hydrocarbon kitchen with rich organic matter. A number of oil-generating associations with various characteristics of organic geochemistry and assemblages of multiple reservoir facies are developed due to the multi-center sedimentation, multi-source supply and multi-cycle evolution of filling, which have resulted in the formation of multiple oil and gas accumulation zones of various layers and trap styles. Among them the Paleogene Shahejie Formation is the most important hydrocarbon accumulation combination in the Dongying sag. Heretofore, its proved reserve has reached nearly 1.8×109t, which accounts for more than 90% of the total proved reserves of the Dongying sag. Based on previous studies, more than 600 source rock samples and 186 crude oil samples of the Shahejie Formation, collected from 30 oilfields, have been treated with organic geochemical testing     

贝塞尔曲线在虚拟森林景观单树几何模型构建中的应用

虚拟景观模型的生成,需要对实际景观进行抽象和简化。树几何模型和数字高程模型(DEM)是构成虚拟森林景观的两大要素。而树几何模型的构建又是林业GIS三维可视化的基础。在树几何建模中,树干及树枝形状的可视化表达具有突出意义。由于实际树种的复杂性,在计算机中建树模型,通常采用基于过程建模的方式,而这将面临用户如何对模型进行交互式控制的问题：参数太少,不足以描述树形态特征,而参数太多,则模型难以生成和理解。为了解决这个问题,我们引进贝塞尔(Bezier)曲线这种基于控制点的自由曲线来描述树木中的树干以及树枝形状,利用对曲线控制点的变动来控制曲线的形状,进而生成形态各异的树形状,对此,我们基于ActiveX技术生成Bezier曲线控件。结果表明,该方法能够表示多种形状的树干与树枝,具有操作简捷、计算速度快,可视化效果良好的优点。     

数据中心集成开发技术:新一代GIS架构技术与开发模式

解决分布式异构多源空间数据共享、不同厂家的功能共享和合作开发是当前GIS开发和应用领域的难题.提出了数据中心集成开发模型框架, 并基于该框架提出了新一代GIS架构技术和开发模式, 介绍了数据中心的核心技术——数据仓库技术、功能仓库技术、搭建与配置技术等, 同时给出了国土数据中心的应用实例, 为基于数据中心大型信息化系统解决方案的实现提供了一种新的模型.      

基于RS和GIS的松花江流域(吉林省段)水资源网络化管理技术研究

松花江流域(吉林省段)水资源网络化管理系统既是一个基于3S技术和网络技术集成的空间决策支持系统，也是一个综合性管理信息系统。它的三维环境可视化功能可显示河流地形和走向，公共信息交互式操作能方便用户查询各种空间信息和数据，网络化管理职能为水资源管理部门对水环境污染、水资源合理利用的预测和决策提供了参考。本文对这项网络化管理信息系统的技术方案和运行步骤进行了探讨。     

基于WiMAX的地质灾害应急无线通信系统探索

基于OFDM核心技术的WiMAX(全球微波接入互操作性)具有4G技术的特点。与3G和WiFi无线通讯技术相比具有明显的高速率、大容量数据传输优势。本文就基于WiMAX的地质灾害应急通讯系统的几种技术方案加以详细论述,说明WiMAX在地质灾害应急指挥中具有广阔前景。