结合NASA DEM和AW3D30 DEM的太原市DEM数据融合

本文首先以DEM数据为例,将输入数据与参考数据配准至同一像素位置,然后分别将均方根误差和标准差作为参考指标,在不同坡度等级的区域内,通过权重系数从0至1的遍历探寻最佳加权融合系数,从而确定融合方案并进行NASA DEM与AW3D30 DEM的数据融合,最后对融合效果进行定量评价。结果表明:配准前,NASA DEM沿x、y、z方向的位移分别为-2.65、2.41、0.60m,AW3D30 DEM位移分别为1.04、7.51、-3.33m;配准后,原始数据各项误差均减小,且NASA DEM的系统误差基本消失。融合DEM相较于NASA DEM,平均误差和均方根误差分别减小了25.0%和36.8%;对于AW3D30 DEM,误差降幅分别为86.5%和13.2%。     

积分法实现公路平面几何线形数字化——基于CASIO fx-4850P编程实现

本文用积分法建立平面线形数据库,编制了计算线路中任意边桩的坐标的CASIO fx-4850P计算器程序,并通过实例证明了用积分法计算的方便、快捷以及实用。     

地面检校场POS辅助航空摄影测量检校方法

POS辅助航空摄影测量中会存在视准轴误差和空间位置偏心差,其会对最终结果精度产生较大的影响,传统的飞行检校方法存在耗费大以及对天气、空域等因素的要求高等特点,不方便进行经常性检校工作。本文提出了一种基于地面检校场的检校方法,并详细推导出误差解算数学模型,同时利用建立好的地面检校场设计试验,最后的试验结果证明了该方法的正确性。     

流动宽频带地震计自噪声测试研究

分别采用双台地震计自噪声互相关分析法(以下简称“Holcomb双台法”)和3台地震计自噪声互相关分析法(以下简称“Sleeman多台法”)对CMG-3T、BBVS-120、STS-2型流动宽频带地震计进行自噪声测试研究.结果表明:Sleeman多台法因有效地规避了传递函数引起的误差,在处理流动宽频带地震计实际记录数据方面比Holcomb双台法更能有效地滤除背景噪声;在简单测试条件下,3种常用流动地震计的自噪声在0.06 ～1 Hz频带内均低于NLNM曲线,显示了相当好的噪声性能指标;在流动台阵观测过程中,地震计方位准确性以及地震计的保温防护措施是保证发挥仪器性能的重要因素.     

Automatic alignment of contemporary vector data and georeferenced historical maps using reinforcement learning

ABSTRACT

With large amounts of digital map archives becoming available, automatically extracting information from scanned historical maps is needed for many domains that require long-term historical geographic data. Convolutional Neural Networks (CNN) are powerful techniques that can be used for extracting locations of geographic features from scanned maps if sufficient representative training data are available. Existing spatial data can provide the approximate locations of corresponding geographic features in historical maps and thus be useful to annotate training data automatically. However, the feature representations, publication date, production scales, and spatial reference systems of contemporary vector data are typically very different from those of historical maps. Hence, such auxiliary data cannot be directly used for annotation of the precise locations of the features of interest in the scanned historical maps. This research introduces an automatic vector-to-raster alignment algorithm based on reinforcement learning to annotate precise locations of geographic features on scanned maps. This paper models the alignment problem using the reinforcement learning framework, which enables informed, efficient searches for matching features without pre-processing steps, such as extracting specific feature signatures (e.g. road intersections). The experimental results show that our algorithm can be applied to various features (roads, water lines, and railroads) and achieve high accuracy.     

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非接触智能卡安全攻击方法研究

随着非接触智能卡的广泛应用,其安全问题也越来越突出。研究了一种非接触智能卡DES密码算法的侧信道安全攻击方法,设计了非接触智能卡密码的侧信道安全攻击流程,研究了信号的采集和处理方法,并对处理后的最终信号进行安全攻击。论文设计了3种信号处理过程,并分别对这3种处理后的曲线进行了攻击操作。最终攻击结果证明了提出的非接触智能卡安全攻击方法是可行的,同时也表明信号处理在非接触智能卡安全攻击中的重要性。     

The intersective Hough transform for geophysical applications

The Hough transform is a widely used tool for alignment identification, but the voting scheme usually used in this transform presents serious problems when alignments are not exact. We propose a voting scheme based directly on intersections in Hough space, which is more efficient and solves the above mentioned problems; the proposed scheme also provides a straightforward way of quantifying each alignment. The intersective approach can even dispense with gridded Hough spaces and accumulator cells, through direct clustering of intersections, so that the whole alignment identification process can be done automatically. A synthetic example representing a geophysical application of the Hough transform, identification of inexact alignments in the presence of noise, is used to illustrate the proposed method and to discuss further applications. An optional data-weighting scheme takes into account possible uncertainties in the data. For both exact and inexact alignments, the intersective method yields better results than the traditional one.     

A New Machine for Planarity Measurement of CCDs and Mosaics of CCDs

High quality CCD detectors are now being produced with 2048× 4096 square pixels, each 15 m on a side. Evenlarger detector areas are built with several CCDs mounted into amosaic. To be useful in an instrument the light must be in focuson all CCDs, requiring that all CCDs in a mosaic must typicallybe aligned within 30 micron of a flat plane. To achieve thisaccuracy in many cases the measurement and correction of the CCDalignment is necessary. One way allowing a surface measurement,even when the CCD is protected by a window, is to usetriangulation sensor. The principle of a triangulation sensor,its application and its implementation in a measuring machineare presented here.     

EFFECTS OF FLOW INTENSITY, OBSTACLE ALIGNMENT AND CROSS-SECTION GEOMETRY ON SCOUR AT BRIDGE ABUTMENTS

1 INTRODUCTION Local scour at bridge piers and abutments has long concerned engineers. Scour depth estimation has attracted considerable research interest and activity, and a number of prediction methods exist at present (see, e.g., comprehensive lists of predictors given by Melville and Colleman, 2000). Several studies have been completed since the 1950s for the particular case of scour at bridge abutments. Since the beginning of the 1980s, the University of Auckland, New Zealand, …