基于Android的控制点手持维护系统的设计与实现

针对传统的控制点管理方法无法解决信息量匮乏、信息现势性不足、不便于野外操作等问题,提出了一种新的基于Android的控制点手持管理方法。采用控制点信息建模技术和移动数据库接口技术,实现了对控制点信息的实时更新;采用网络地图服务集成技术,实现了对控制点信息的深度挖掘以及便于野外操作。通过基于Android的控制点手持维护系统的开发表明:结合Android终端与网络地图服务,可以避免传统方法的不足,更加有效的进行控制点的管理与维护。     

基于三维激光扫描数据的建筑物三维建模

给出基于三维激光扫描测量仪所获得的点云数据来实现建筑物三维建模的方法。文中介绍了三维激光扫描测量仪的系统组成与工作原理,给出对点云数据处理的过程和方法,阐述建筑物三维建模的方法,并用实例介绍整体方法的实现过程和效果。     

On the Distance Function Between Two Keplerian Elliptic Orbits

The problem of finding critical points of the distance function between two Keplerian elliptic orbits is reduced to the determination of all real roots of a trigonometric polynomial of degree 8. The coefficients of the polynomial are rational functions of orbital parameters. Using computer algebra methods we show that a polynomial of a smaller degree with such properties does not exist. This fact shows that our result cannot be improved and it allows us to construct an optimal algorithm to find the minimal distance between two Keplerian orbits. This revised version was published online in July 2006 with corrections to the Cover Date.     

地铁变形监测方案设计与变形分析

介绍了基于测量机器人的移动式周期变形监测方案在地铁变形监测中的应用,对基准网点和监测点的设计,以及对基准网点的确定进行了说明,并结合实例进行了论述。     

利用控制点三维信息标定机载双天线干涉SAR参数

采用基于敏感度方程的方法,研究基于三维重建模型下的机载双天线干涉SAR系统的干涉参数定标问题.干涉参数定标是生成高精度数字高程模型的关键.本文修正了Madsen提出的干涉SAR三维重建的视向量正交分解算法,采用电磁波波前的球面波模型,加入了载机的姿态旋转,构建一种新的干涉SAR三维重建模型.利用各干涉参数对控制点三维信息的不同的敏感性,提出分别利用地面控制点三维信息,对各干涉参数进行定标.并利用中国科学院电子学研究所自主设计、研制的机载干涉SAR系统数据,进行定标处理实验验证.     

似大地水准面拟合中已知点的选择

似大地水准面的拟合是测绘中的一个热点问题,其中已知点的选择对似大地水准面拟合结果有显著影响。文中探讨似大地水准面拟合中已知点的选择问题,分析比较传统手工方法、全组合法与逐点剔除法选择已知点,并用实际算例验证逐点剔除法的优点,所得结论对实际工程应用具有一定的参考价值。     

有序聚类分析法的改进及其在水文序列突变点识别中的应用

有序聚类分析法是水文学中识别突变点的有效方法,但该法只考虑了同类之间的离差较小原则,忽略了类与类之间的离差较大原则。基于此,提出了改进的有序聚类分析法,改进法同时考虑了同类之间的离差较小和类类间的离差较大原则。将改进的有序聚类分析法应用于年平均流量序列突变点识别中,并与传统有序聚类分析法进行对比分析,研究结果表明,改进的有序聚类分析法原理明确,识别突变点更加有效。     

Optimum design and application of non‐traditional tuned mass damper toward seismic response control with experimental test verification

A variant type of tuned mass damper (TMD) termed as ‘non‐traditional TMD (NTTMD)’ is recently proposed. Mainly focusing on the employment of TMD for seismic response control, especially for base‐isolated or high‐rise structures, this paper aims to derive design formulae of NTTMDs based on two methodologies with different targets. One is the fixed points theory with the performance index set as the maximum magnitude of the frequency response function of the relative displacement of the primary structure with respect to the ground acceleration, and the other is the stability maximization criterion (SMC) to make the free vibration of the primary structure decay in the minimum duration. Such optimally designed NTTMDs are compared with traditional TMDs by conducting both numerical simulations and experiments. The optimum‐designed NTTMDs are demonstrated to be more effective than the optimum‐designed traditional TMDs, with smaller stroke length required. In particular, the effectiveness of the TMDs combined with a base‐isolated structure is investigated by small‐scale model experimental tests subjected to a time scaled long period impulsive excitation, and it is demonstrated that the SMC‐based NTTMD can suppress structural free vibration responses in the minimum duration and requires much smaller accommodation space. Additionally, a small‐scale shaking table experiment on a high‐rise bending model attached with a SMC‐based NTTMD is conducted. This study indicates that NTTMD has a high potential to apply to seismic response control or retrofit of structures such as base‐isolated or central column‐integrated high‐rise structures even if only a limited space is available for accommodating TMDs. Copyright © 2015 John Wiley & Sons, Ltd.     

参照标准点探测PS法

提出参照标准点探测PS法。既考虑PS的强散射特性,又顾及其稳定性,且初选时振幅阈值的设置参照每景影像中PS标准点的振幅值,精选时振幅离差阈值的设置也参照这些PS标准点的振幅离差值,都不需要人工设定。选取澳门半岛为实验区,以18景TerraSAR-X为数据源,进行PS探测实验。结果表明,相比于传统的PS探测方法,本方法能更快速、有效、可靠地探测出SAR影像中的PS。     

基于累积偏移算法的线路矢量数据实时压缩

针对线路矢量数据实时采集和同步压缩应用需求,本文提出具有高压缩率、低失真度特点的累积偏移实时压缩算法（CORC Algorithm）。算法突出对弯曲极值点和距离偏移的感知,创新性地提出累积变向点和累积变向拐点的弯曲极值点探测方法,提出距离累积偏移临界点的线路偏移快速判断方法,从而有效提高算法对方向连续偏移的敏感度和对摇摆偏移的高压缩率,提高线路矢量数据实时压缩的高保真性。累积偏移实时压缩算法在高限差阈值情况下仍能有效发现各类弯曲极值点和距离累积偏移临界点,在O（N）时间复杂性和O（1）空间复杂性下取得高压缩率、低失真度的理想压缩效果,实现了线路采集的零延时同步压缩。应用定时、定距两种采集策略生成的线路矢量数据集,与垂距法（VD Algorithm）、分段道格拉斯-普克法（Subsection DP Algorithm）进行实时压缩性能实验对比,结果表明,累积偏移法作为实时压缩方法,与上述两种主流实时压缩算法相比,在压缩实时性、压缩率失真度平衡、限差阈值可控性3方面都具有明显的优越性。在同等压缩率情况下,累积偏移压缩算法失真度普遍降低达10%,且压缩率与失真度的平衡性受限差阈值取值和线路轨迹特征影响最小,可实现线路的定位采集、实时压缩、同步网络上传,在交通、旅游、探险搜救等领域的实时定位监控中具有广阔的应用前景。