一种利用K均值和SOM进行遥感图像分类的方法

探讨了一种将K均值算法和SOM神经网络算法相结合的方法,并将其应用于多光谱遥感图像分类,通过与K均值算法、ISODATA算法和SOM算法的对比实验,验证了该方法的有效性.     

区域似大地水准面精化模型算法的优选

建立高精度、高分辨率的区域似大地水准面模型是GPS高程测量在实际应用中必须解决的首要问题,分别介绍BP神经网络、曲面拟合的模型及算法,并基于焦作市GPS测量数据,通过MATLAB编程计算和分类实验,验证几种算法的有效性与可靠性,结果证明神经网络算法要优于其它算法,最后给出有益的结论.     

Imaging spectroscopy in soil-water based site suitability assessment for artificial regeneration to Scots pine

In a humid northern boreal climate, the success rate of artificial regeneration to Scots pine (Pinus sylvestris L.) can be improved by including a soil water content (SWC) based assessment of site suitability in the reforestation planning process. This paper introduces an application of airborne visible-near-infrared imaging spectroscopic data to identify suitable subregions of forest compartments for the low SWC-tolerant Scots pine. The spatial patterns of understorey plant species communities, recorded by the AISA (Airborne Imaging Spectrometer for Applications) sensor, were demonstrated to be dependant on the underlying SWC. According to the nonmetric multidimensional scaling and correlation results twelve understorey species were found to be most abundant on sites with high soil SWCs. The abundance of bare soil, rocks and abundance of more than ten species indicated low soil SWCs. The spatial patterns of understorey are attributed to time-stability of the underlying SWC patterns. A supervised artificial neural network (radial basis functional link network, probabilistic neural network) approach was taken to classify AISA imaging spectrometer data with dielectric (as a measure volumetric SWC) ground referencing into regimes suitable and unsuitable for Scots pine. The accuracy assessment with receiver operating characteristics curves demonstrated a maximum of 74.1% area under the curve values which indicated moderate success of the NN modelling. The results signified the importance of the training set’s quality, adequate quantity (>2.43 points/ha) and NN algorithm selection over the NN algorithm training parameter optimization to perfection. This methodology for the analysis of site suitability of Scots pine can be recommended, especially when artificial regeneration of former mixed wood Norway spruce (Picea abies L. Karst) - downy birch (Betula pubenscens Ehrh.) stands is being considered, so that artificially regenerated areas to Scots pine can be optimized for forestry purposes.     

混合单元模型在道路工程土方量计算中的运用

通过综合规则格网和不规则三角网的特点,构建了混合单元模型运用于道路勘察设计的土方量计算中,采用蒙特卡罗积分方法进行体积计算.通过工程实例对比,验证了此方法可行性,为土方量计算提供新模式.     

空间句法在开封市区路网空间结构中的应用

基于空间句法模型中的整合度指标计算,借助Arcview与ArcGIS软件的计算和空间分析功能,分析开封市区路网空间的可达性和可达性区域的空间分布特点,对存在问题予以归纳,提出相应的调控建议.     

利用遗传算法的网络GIS集群服务器动态负载均衡算法

针对现有负载均衡方法的不足和网络GIS数据的特点,提出了一种基于遗传算法的网络GIS集群服务器动态负载均衡方法。该算法将基于服务器状态和基于内容的调度算法综合起来考虑,设计了相应的编码机制和遗传操作。实验结果表明,和常用的负载均衡算法相比,此算法能获得更小的服务请求响应时间,能更好地服务网络GIS系统。     

全野外精密数字地面模型的建立

数字地面模型DTM是国家空间数据基础设施的框架数据之一,现在已在各个领域得到了广泛的应用。本文着重对全野外精密地面数字模型在实际建立的作业方式、精度要求、检查方法、精度评定技术进行了深入的探讨,并简要介绍了精密地面数字模型的应用前景。     

网络分析方法在GPS控制网优化设计中的应用

讨论了网络分析方法中的深度优先遍历算法在GPS控制网优化设计中资源配置问题中的应用,并在该算法的基础上,进行了一定的改进,提出了并行项目的解决建议,为网络的资源配置提出了一种新的解决方法。     

桥梁沉降观测布网方案浅析

从变形监测理论入手,结合多年实践经验介绍了桥梁监测中涉及的一些基本概念,包括桥梁监测中基准点,工作基点和变形观测点介绍、监测网的布设原则、一般网形示例介绍、引起桥梁不均匀沉降的原因以及监测网点位置安排等内容。     

基于数字地价模型的地价监测点配置研究

从数字地价模型的建立、格网数字地价模型向TIN转化、TIN节点与宗地图层叠加拟合完成地价监测点的定位配置、结合市场比较法的监测点地价更新、TIN数字地价模型更新等几个方面详细阐述了数字地价模型运用于地价监测点配置的具体方法。并将这一配置模式与以标准宗地为载体的配置模式进行了比较分析。