基于GPS/CDMA集成的移动定位与服务技术

随着空间信息技术的发展,移动定位服务需要更高的定位精度。人们的活动范围越来越不确定,这给移动通信带来了无限商机和挑战,在此领域,日本处于世界领先地位,国内主要有Nokia、Ericsson、Motorola等。提出了一种基于GPS／CDMA集成的移动定位与服务技术,并分析了其中关键技术和实施的可行性。     

基于街景图像的厦门本岛环境特征对住宅价格的影响研究

住宅价格的空间分异是城市空间资源配置不均衡的外在表现,理解住宅价格的主导影响因素及其空间分异特征对于住区规划及房价调控政策的制定具有重要意义。既有研究较少考虑环境品质对住宅价格的影响和影响因素的作用尺度差异,针对以上问题,本文引入街景图像,在特征价格模型的基础上拓展环境特征,构建多尺度地理加权回归（MGWR）模型,研究环境特征对住宅价格的影响效用,并通过分析其他控制变量的系数空间格局,总结各变量的空间分异特征规律。主要结论为：(1)街景图像测度的环境特征更符合人们对居住环境的真实感知,研究结论可为居住环境品质提升提供更加精细化的设计策略;MGWR模型对变量的空间分异现象具有更接近于真实值的拟合效果,可描述不同变量的作用尺度差异,这有助于为特定地区制定针对性规划策略。(2)厦门本岛住宅价格呈现显著的聚类特征,并沿城市核心发展轴呈“带状”结构分布。(3) 3个环境特征变量对于住宅价格均为显著的正向影响,且作用接近全局尺度,街景绿视率的影响最强,其次是天空开敞度和相对步行指数。(4)总结各变量的系数空间分异规律,发现不同特征地区住宅价格的主导影响因素不同,核心地区主要受交通、教育因素的影响;...     

一种面向分类界址点的快速提取方法

本文根据工程项目需要并在分析已有界址点提取算法缺陷的基础上,提出了一种灵活高效的面向宗地分类界址点的快速提取方法.该方法将界址点区分为"交点型"和"特征点型"来重建提取技术流程,利用Python编程语言及arcpy站点包实现了针对前者通用的快速提取算法,以及针对后者整合了约束条件控制的多宗地并行提取算法.测试结果表明,...     

Swift时代伽马暴的观测及研究进展

Swift卫星从2004年11月20日升空开始运转到现在已有2年多时间.到目前为止,它-共观测到了200多个伽马暴及其余辉现象.由于Swift观测到了早期X射线余辉、短暴余辉和高红移伽马暴等新的重要现象,伽马暴研究进入了新的时代.该文首先对伽马暴的研究历史做简短回顾,然后简要介绍伽马暴的物理图像和Swift卫星的构成及特点,最后全面评述Swift的观测成就及由此引起的理论挑战.     

Spatial structure and land use control in Extended Metropolitan Region of Zhujiang River Delta,China

The Zhujiang (Pearl) River Delta is one of the most developed Extended Metropolitan Regions (EMR) in China.With the rapid urbanization,the agglomeration of population and industries has emerged,which has led to dramatic changes of spatial structure and land use in this region.With data of high resolution TM remote sensing images and Google Earth maps,this paper identified and analyzed the spatial pattern of the Zhujiang River Delta EMR using Envy and ArcGIS tools.It was found that 1) the industrial land uses were expanding substantially,particularly on the bank sides of the Zhujiang River estuary;2) large-scale housing developments were concentrated in the fringe of metropolitan areas such as those of Guangzhou and Shenzhen;3) a regional transportation network with the spatial pattern of ″1 circle +2 pieces + 3 axes″ had significantly affected the location choice of manufacture enterprises.At the same time,both highly specialized land use and severely mixed land use patterns were identified.As a consequence of the latter,land use efficiency of the whole EMR areas was reduced.Moreover,ecologic and environmental problems were severe.Based on the above analysis,suggestions were given from the viewpoint of spatial safety,land use efficiency,and the reorganization of spatial structure in the Zhujiang River Delta EMR.     

基于支持向量机的岩石薄片图像分割

支持向量机是对传统学习分类方法的一个良好替代,特别是小样本、高维的情况下,有着良好的泛化能力,利用支持向量机良好的分类特性,将图像分割的问题转化为分类问题,对岩石薄片图像进行分割实验.通过实验表明：支持向量机对于分割颜色分布不均匀、边缘模糊的岩石薄片图像,有很好的应用前景.     

一种基于点特征的高精度图像配准方法

提出了一种基于点特征的多源图像高精度配准方法。通过在遥感影像上提取密集特征点,利用多种方法结合进行严格匹配获得同名点对。通过构建不规则三角网分割影像,再利用仿射变换模型实现每个三角形的配准。实验证明了该方法的有效性和较高的适用性。     

Deriving Changjiang coastal zone wind from C-band SAR and its application to salinity simulation

Wind plays an important role in hydrodynamic processes such as the expansion of Changjiang （Yangtze） River Diluted Water （CDW）, and shelf circulation in the Changjiang estuary. Thus, it is essential to include wind in the numerical simulation of these phenomena. Synthetic aperture radar （SAR） with high resolution and wide spatial coverage is valuable for measuring spatially inhomogeneous ocean surface wind fields. We have collected 87 ERS-2 SAR images with wind-induced streaks that cover the Cbangjiang coastal area, to verify and improve the validity of wind direction retrieval using the 2D fast Fourier transform method. We then used these wind directions as inputs to derive SAR wind speeds using the C-band model. To demonstrate the applicability of the algorithms, we validated the SAR-retrieved wind fields using QuikSCAT measurements and the atmospheric Weather Research Forecasting model. In general, we found good agreement between the datasets, indicating the reliability and applicability of SAR- retrieved algorithms under different atmospheric conditions. We investigated the main error sources of this process, and conducted sensitivity analyses to estimate the wind speed errors caused by the effect of speckle, uncertainties in wind direction, and inaccuracies in the normalized radar cross section. Finally, we used the SAR-retrieved wind fields to simulate the salinity distribution off the Changjiang estuary. The findings of this study will be valuable for wind resource assessment and the development of future numerical ocean models based on SAR images.     

Alternative Fuzzy Cluster segmentation of remote sensing images based on Adaptive Genetic Algorithm

Remote sensing image segmentation is the basis of image understanding and analysis. However, the precision and the speed of segmentation can not meet the need of image analysis, due to strong uncertainty and rich texture details of remote sensing images. We proposed a new segmentation method based on Adaptive Genetic Algorithm (AGA) and Alternative Fuzzy C-Means (AFCM). Segmentation thresholds were identified by AGA. Then the image was segmented by AFCM. The results indicate that the precision and the speed of segmentation have been greatly increased, and the accuracy of threshold selection is much higher compared with traditional Otsu and Fuzzy C-Means (FCM) segmentation methods. The segmentation results also show that multi-thresholds segmentation has been achieved by combining AGA with AFCM.     

结合多特征的快速协同高光谱异常探测算法

针对协同表示算法的计算复杂度高、空间特征缺失问题,该文提出基于快速递归与多特征协同表示的异常探测算法。首先根据像素位置构造变换矩阵,由矩阵求逆引理导出递归更新方法,以提升协同表示算法的时效性。然后从高光谱图像中分别提取光谱特征、Gabor特征、扩展多属性轮廓特征,应用快速递归和协同表示方法,将多特征探测结果采用自适应加权方法进行融合,更好地实现异常目标和背景类的分离。采用该算法对3组高光谱数据进行实验：通过时效性对比发现,快速递归算法的检测效率提高了30%以上;同时,利用ROC曲线及AUC值对比分析发现,该算法表现出良好的探测性能。