基于时空匹配的车载激光点云与CCD线阵图像的融合

本文给出了一种基于车载的激光点云与线阵CCD相机图像进行数据融合的方法。车载数据采集系统集成了GPS,激光扫描仪,IMU和线阵相机。该方法基于POS的定位定姿数据,利用时间信息和各个传感器的相对空间位置信息建立激光点与CCD相机扫描线之间的对应关系,进而确定CCD扫描线上与该激光点对应的像素。将该像素的颜色属性赋给激光点,可得到具有颜色属性的三维激光点云。最后给出具体融合结果。     

Automatic morphological classification of galaxy images

We describe an image analysis supervised learning algorithm that can automatically classify galaxy images. The algorithm is first trained using manually classified images of elliptical, spiral and edge-on galaxies. A large set of image features is extracted from each image, and the most informative features are selected using Fisher scores. Test images can then be classified using a simple Weighted Nearest Neighbour rule such that the Fisher scores are used as the feature weights. Experimental results show that galaxy images from Galaxy Zoo can be classified automatically to spiral, elliptical and edge-on galaxies with an accuracy of ∼90 per cent compared to classifications carried out by the author. Full compilable source code of the algorithm is available for free download, and its general-purpose nature makes it suitable for other uses that involve automatic image analysis of celestial objects.     

顾及起算数据误差的整体平差法

因起算数据误差的存在 ,导致了用普通的平差方法求得的结果精度降低。本文提出了顾及起算数据误差的计算方法 ,即从整体平差的角度出发 ,将起算数据作为虚拟观测值 ,与观测值一起进行平差。     

Application of neural networks in natural periods identification and simulation of prefabricated buildings response

The paper deals with an application of neural networks for detection of natural periods of vibrations of prefabricated, medium height buildings. The neural network technique is also used to simulate the dynamic response at selected floor of one of the analysed buildings subject to seismic loading induced by explosives in a nearby quarry. Both the training and testing patterns were formulated on the basis of measurements performed on actual structures. The results of neural network identification of natural periods of the considered buildings obtained with different soil, geometrical and stiffness parameters are compared with the results of experiments. The application of back-propagation neural networks enables us to identify the natural periods of the buildings with accuracy quite satisfactory for engineering practice. The experimental and generated data of vibration displacements are compared and much clearer comparison is given on the phase plane: displacements versus velocities. It was stated that a good generalization takes place both with respect to displacements and velocities.     

省级地震数据容灾备份技术初探

对地震数据容灾备份技术进行了研究,探讨了地震数据容灾备份的重要性及设计方案,及开展此项工作的技术和流程。详细介绍了地震数据容灾备份所需的网络备份技术、数据复制技术、灾难检测技术和系统迁移技术。     

准格尔丘陵沟壑区五分地沟流域土地覆盖分析

以准格尔丘陵沟壑区五分地沟流域为研究区,应用彩红外航片和IKONOS卫星影像,绘制了1987、2002年土地覆盖/植被类型图,并数字化基于地面土地利用调查绘制的1979年土地利用图.利用景观格局指数,评价了研究区土地覆盖/植被空间格局现状及土地覆盖类型动态变化;并以ETM 数据为信息源,绘制了2002年土地覆盖/植被类型图.研究表明:2002年研究区土地覆盖/植被呈现出一个耕地、草地、人工乔木林和人工灌木林以及种植稀疏灌木的草地高度镶嵌的景观格局特征;20年内土地覆盖类型发生了显著的变化,景观异质性增强.基于研究区景观的高度破碎化,绘制小流域精细尺度土地覆盖图,高空间分辨率遥感数据十分必要.     

FME和VSFTP相结合的不动产数据模式探讨

以实际项目应用为例,阐述了一种FME和VSFTP相结合的不动产数据整合作业模式。该模式通过团队协作,快速迭代更新数据,具有工作效率较高、工作进度可控、数据质量较好的特点,为不动产数据质量相对较差的地区提供了一套可行的数据整合工作模式,该模式也可推广应用到三调内业数据处理。     

The International GPS Service tracking network: Enabling diverse studies and projects through international cooperation

The International GPS Service (IGS), formulated beginning in 1989 and formalized in 1994, was founded on the collaborative operation of approximately 30 permanent GPS stations to benefit global geodynamics. The same cooperative principles, today applied to a network of over 300 stations, still serve to maximize global benefit without unnecessary duplication of investment in global infrastructure. The scope of applications of the dataset has grown to include atmospheric, oceanographic, subdaily, and low-earth orbiter activities through working groups and pilot projects fostered within the IGS in the now traditional IGS spirit of collaboration. These activities and the IGS infrastructure are viewed as critical elements to the Global Geodetic Observing System. This presentation will review the present nature of the IGS tracking network and its ability to support new applications.     

全站仪内存记录导线观测数据的数据处理系统开发

在导线测量外业观测过程中,采用全站仪内存进行电子记簿,针对其数据记录功能进行导线观测值提取、计算功能的二次开发,并做了相应的数据处理;充分利用其编码测量的功能,开发相应的数据处理程序模块,自动提取数据并转换成平差软件能识别的标准的统一的平差文件,减轻了劳动强度和减少了内、外业的工作量。     

GPS/Doppler导航随机模型的移动窗口实时估计算法

引进时间遗忘因子和观测冗余度因子,有效地平衡移动窗口内不同时刻的观测数据及其冗余情况对单位权方差估值的贡献,改进单位权方差的移动开窗实时估计算法.采用载噪比模型确定观测权阵,等价权抗差估计方法处理粗差.实测车载GPS/Doppler数据的处理结果表明:采用本文算法显著提高GPS/Doppler的导航精度与可靠性.