利用航空影像、点云数据和矢量图进行简单房屋三维重建方法研究

采用航空影像、点云数据和矢量图进行房屋的三维重建。该方法从矢量图和三维点云数据提供的房屋高度信息中自动获取房屋模型参数的初始值,利用矢量和影像匹配技术、最小二乘平差算法实现平顶房、人字形简单房屋的自动三维重建。试验数据证明,该方法能较好地实现房屋的点云数据分割和平顶房、人字形简单房屋的几何模型自动重建。     

实现遥感相机自主辨云的小波SCM算法

云噪声是光学卫星影像的常见问题,为了衡量云噪声对影像融合带来的影响,本文以高通滤波融合算法为例进行分析,指出云与地物的均值相差越大,云对影像融合的影响越大,并提出了一种针对含云影像的融合方法,即联合云检测与高通滤波的含云影像融合方法。该方法首先利用NIR/R-OTSU云检测算法实时进行云检测,判别出影像中的云覆盖区域;其次采用局部优化策略利用高通滤波融合方法分块对非云区域进行处理,得到融合影像。利用资源三号多光谱和正视全色影像进行融合实验,结果表明,本文算法比高通滤波融合方法、亮度色度饱和度（intensity hue saturation,IHS）变换融合方法、Pansharp融合方法更适用于含云影像的融合处理。     

分层重力图像方法及其应用

分层重力图像方法是依据三维地震波速的层析成像结果,通过速度与密度相关关系,转换得到分层的密度结构模型,计算并给出各分层在地表的重力异常分布图像．以中国大陆为例,给出其不同深度的7个分层的重力异常图像和不同分层叠加的综合（或总合）重力异常分布图像．经过与实测的中国布格重力异常资料对比分析,结果表明两者的重力场特征相当一致;分层重力图像的结果能较好地反映地下不同深度的物质分布．     

Evaluation of spatial variability in snow water equivalent for a high mountain catchment

Multivariate statistical analysis was used to explore relationships between catchment topography and spatial variability in snow accumulation and melt processes in a small headwater catchment in the Spanish Pyrenees. Manual surveys of snow depth and density provided information on the spatial distribution of snow water equivalent (SWE) and its depletion over the course of the 1997 and 1998 melt seasons. A number of indices expressing the topographic control on snow processes were extracted from a detailed digital elevation model of the catchment. Bivariate screening was used to assess the relative importance of these topographic indices in controlling snow accumulation at the start of the melt season, average melt rates and the timing of snow disappearance. This suggested that topographic controls on the redistribution of snow by wind are the most important influence on snow distribution at the start of the melt season. Furthermore, it appeared that spatial patterns of snow disappearance were largely determined by the distribution of snow water equivalent (SWE) at the start of the melt season, rather than by spatial variability in melt rates during the melt season. Binary regression tree models relating snow depth and disappearance date to terrain indices were then constructed. These explained 70–80% of the variance in the observed data. As well as providing insights into the influence of topography on snow processes, it is suggested that the techniques presented herein could be used in the parameterization of distributed snowmelt models, or in the design of efficient stratified snow surveys. Copyright © 2003 John Wiley & Sons, Ltd.     

高挂山—牛头寨地区小型环形影象构造分析及其找矿意义

高挂山—牛头寨地区,通过大比例尺航片解译,发现6个大小不等的小型环形影象信息。这些环形影象与岩浆活动、已知矿床、矿化点、重砂异常、物化探异常等的分布有着内在的联系。为预测找矿远景区和找隐伏矿床提供了影象依据。     

海量多源1：50000正射影像数据建库与集成更新

高分辨率正射影像不仅是1：50000地形数据库更新的数据源,也是1：50000数据库更新工程的重要数据产品。本文针对国家1：50000更新工程DOM数据库建设目标和要求．提出了建库总体思路、技术方法和海量多源正射影像数据库的技术设计,面向正射影像数据库管理与分发服务需求研制开发了影像库集成管理与数据服务系统软件。实现影像成果数据集成管理和分发服务一体化。     

SPOT像片外方位元素之间的相关性及克服方法的研讨

本文从数学公式出发分析了SPOT像片外方位元素之间强相关的性质;讨论了在解求外方位元素时为克服强相关的影响而采用的两种方法,即线元素与角元素迭代求解法和定向未知数引入“伪观测值”法;并根据相关分析提出了一种新的方法——合并相关项求解法。试验结果表明:这一方法不仅具有计算收敛快、法方程答解稳定等特点,而且具有较高的解算精度。     

Clustering based on eigenspace transformation – CBEST for efficient classification

Large remote sensing datasets, that either cover large areas or have high spatial resolution, are often a burden of information mining for scientific studies. Here, we present an approach that conducts clustering after gray-level vector reduction. In this manner, the speed of clustering can be considerably improved. The approach features applying eigenspace transformation to the dataset followed by compressing the data in the eigenspace and storing them in coded matrices and vectors. The clustering process takes the advantage of the reduced size of the compressed data and thus reduces computational complexity. We name this approach Clustering Based on Eigen-space Transformation (CBEST). In our experiment with a subscene of Landsat Thematic Mapper (TM) imagery, CBEST was found to be able to improve speed considerably over conventional K-means as the volume of data to be clustered increases. We assessed information loss and several other factors. In addition, we evaluated the effectiveness of CBEST in mapping land cover/use with the same image that was acquired over Guangzhou City, South China and an AVIRIS hyperspectral image over Cappocanoe County, Indiana. Using reference data we assessed the accuracies for both CBEST and conventional K-means and we found that the CBEST was not negatively affected by information loss during compression in practice. We discussed potential applications of the fast clustering algorithm in dealing with large datasets in remote sensing studies.     

地下水流面三维实体模型制作系统（V1．00）

简要介绍了地下水流面在维实体模型制作系统－GWT3D（V1．00）的实体建模技术及光线跟踪原理，对其绘图所需数据文件结构进行了必要说明，同时阐述了GWT3D的功能与特色，并给出了该软件在这地区绘制地下水流场三维实体模型的一个实用实例。GWT3D是由VisualC 6.O开发的Win32应用程序，采用Outloow98流行的动画工具条风格，能利用通和地下水流模拟软件（如Modfolw等）所提供的网格剖分及水位数据，给制近似逼真的三维地下水流形态，具有动画显示功能和TIF、BMP、GIF3种图像文件存储格式，是一个专业性和实用性较强的计算机图像制作软件。     

星载SAR复数图像的配准

星载干涉雷达测量已经被证实用于生成大范围（乃至全球）的DEM或监测地表位移具有广阔的应用前景，其中SAR复数图像序列的精确配准是保证生成有效干涉相位图的重要环节之一。本文分析了卫星InSAR系统中所涉及的几种坐标系统变换问题，并提出了基于此的几何配准方案，即基于卫星轨道状态矢量、SAR成像几何进行配准的算法；同时，还设计了基于几何配准结果和能量影像相关技术的配准算法，最后使用ERS－1／2、JERS－1和RADARSAT卫星获取的3种SAR复数图像对分别做几何配准和相关配准试验和比较，并对卫星SAR图像质量和轨道数据质量作了定性分析。