激光扫平仪光束水平误差的检定

阐述了激光扫平仪光束水平误差的检定方法、激光扫平仪特征方向水平误差及其检测步骤和数据处理方法,给出了精度分析和实测结果。     

激光扫平仪在线自动检测系统

介绍了一种新型的激光扫平仪在线自动检测系统,主要用于激光扫平仪倾斜误差β、锥角误差γ和补偿误差δ的高精度在线自动检测。     

六、P24 测量仪器

CH20000594 激光扫平仪在线自动检测系统/何平安(武汉测绘科技大学光电工程学院)…∥武汉测绘科技大学学报.—1999,28(3).—276～278介绍了一种新型的激光扫平仪在线自动检测系统,主要用于激光扫平仪倾斜误差、锥角误差和补偿误差的高精度在线自动检测。图3参10     

激光扫平仪激光水平误差及检测方法的研究

采用矢量算法推导出激光水平误差与激光出射方向的函数关系，进而求解出最大扫平误差及其方位角的计算公式，并提出激光水平精度的具体检测方法。     

激光扫平仪的精度与测试

本主要探讨激光扫平仪几种精度表达方式及实际运用的可行性,分析影响仪器和探测 精度的误差因素与合成,建立了一套完整的检测仪器精度的方法。     

激光双光束扫平仪及其分析初探

本文就激光双光束扫平仪在各国的发展情况，以及该仪器的用途、性能，工作原理作一个介绍性的论述，以及该类仪器在国内的发展、研制情况作一简单介绍。还提出该仪器光路改进设计的初步方案、并在此基础上讨论了各种误差因数的影响，还提出一种新的自动安平和用自准直的方法来克服长水泡调平精度限制的方法。     

激光扫平仪的原理与检验

本文对激光扫平仪（半导体激光二极管作光源）的技术性能指标，使用范围和设计原理及产品的检验和调整，作了较为全面的论述。     

激光跟踪仪结合全站仪的三维控制网测量及其精度分析

激光跟踪仪测角精度较低,不适宜单独实施三维控制网测量。针对这种现状,本文从理论上分析了激光跟踪仪结合全站仪进行三维控制网测量的合理性,并在上海软X射线FEL装置安装三维控制网测量中对这一方法进行验证。实验结果表明,本文采用的方法具有较高的精度和效率,控制网总体网点误差0.03mm,平均网点误差0.02mm,X、Z轴中误差均0.09mm,满足上海软X射线FEL装置精密安装要求。同时,该法弥补了激光跟踪仪测角精度不高的缺陷,因此不失为一种提高三维控制网精度的有效方法,也为类似控制测量的施展提供了一个新的技术视点。     

激光跟踪仪的测量误差解析与精度仿真

激光跟踪仪基于球坐标法测量原理,通过测角、测距实现三维坐标的精密测量,由于角度和距离对整体测量精度的影响存在较大差异,需要对其全量程测量精度变化规律进行研究.鉴于激光跟踪仪可以在任意安置姿态下进行三维坐标测量,文中首先分析"仪转角"和"仪顶角"两个术语的基本含义,区别传统的"水平角"和"竖直角".基于误差传播定律,以仪器测角、测距的标称精度为依据,对激光跟踪仪的点位测量误差进行解析.以L eica A T 930型激光跟踪仪为例,重点分析"测角线性误差"和"测距误差"的悬殊性.并通过仿真模拟,分析空间三维坐标精度随各观测要素的变化规律,探讨"解析点位精度"与"标称点位精度"之间的精度差异.     

激光铅垂仪向上投点在地铁隧道工程中进行联系测量的实践

盾构法地铁隧道施工测量中,提高联系测量对隧道贯通起着决定的作用。本文对地铁施工测量贯通测量的误差来源进行了分配,对二井定向利用激光铅垂仪向上投点方案进行了精度分析,并和钢丝投点法的计算成果进行了比较,提出了激光铅垂仪向上投点法方案措施。     

图根支导线测角中误差计算公式之讨论

本文结合实例讨论了小地区平面控制测量中多条图根支导线测角中误差m角平的三种计算方法,其中方法二全面考虑多条图根支导线的测量误差,其计算测角中误差m角平的公式也是最值得推广的。按照方法二可计算出各条图根支导线的测站点圆周角闭合差是否超过±40″,各条支导线的角度闭合差fβj是否超过40 n1″,测角中误差m角平是否超过21.2″,由此可以判断测角精度是否合格,在测量工作中具有一定的实用性。     

多波束测深数据残余误差精细处理

便携式多波束测深系统在安装和作业过程中可能产生各类误差,包括安装误差、航行中抖动误差、运动传感器安装偏差等。现有的多波束处理商业软件只能在其内置模块上进行有限的分析和校正。文中以某沉船为例,简述多波束测深数据的精细处理方法。     

多目标法全站仪水平角检定技术的实现

一测回水平方向标准差是指全站仪用盘左、盘右观测同一目标所求得的方向值的准确度,是衡量全站仪测角质量高低的标志.本文叙述了多目标法水平方向标准差的测定过程,给出了多目标法水平方向标准差检定结果的计算模型,并以测角标称精度为3"的南方NTS-663全站仪作为样机,利用多目标法进行水平方向一测回标准差检定,通过4个检定序列,...     

经纬仪整平误差对水平角观测影响机理的研究

揭示了经纬仪整平误差对水平角观测的影响机理,给出了整平误差导致的水平角观测误差的全圆变化规律及变化曲线。     

论光电测距仪的周期误差和相位不均匀性误差

论述了测距仪周期误差及相位不均匀性误差的性质，分析了这些误差对距离测量的影响，给出了实验结果，提出了改进有关误差检定的建议     

A total error-based multiquadric method for surface modeling of digital elevation models

Digital elevation model (DEM) source data are subject to both horizontal and vertical errors owing to improper instrument operation, physical limitations of sensors, and bad weather conditions. These factors may bring a negative effect on some DEM-based applications requiring low levels of positional errors. Although classical smoothing interpolation methods have the ability to handle vertical errors, they are prone to omit horizontal errors. Based on the statistical concept of the total least squares method, a total error-based multiquadric (MQ-T) method is proposed in this paper to reduce the effects of both horizontal and vertical errors in the context of DEM construction. In nature, the classical multiquadric (MQ) method is a vertical error regression procedure, whereas MQ-T is an orthogonal error regression model. Two examples, including a numerical test and a real-world example, are employed in a comparative performance analysis of MQ-T for surface modeling of DEMs. The numerical test indicates that MQ-T performs better than the classical MQ in terms of root mean square error. The real-world example of DEM construction with sample points derived from a total station instrument demonstrates that regardless of the sample interval and DEM resolution, MQ-T is more accurate than classical interpolation methods including inverse distance weighting, ordinary kriging, and Australian National University DEM. Therefore, MQ-T can be considered as an alternative interpolator for surface modeling with sample points subject to both horizontal and vertical errors.     

单指标经纬仪水平度盘偏心差的典型相关分析

本文运用典型相关分析的方法,对单指标经纬仪的多测回观测值进行分析,以发现其中是否含有水平度盘偏心差的影响。其结论与对仪器结构的几何分析是一致的。试验结果表明,该方法是一种有效的方法。     

GPS精度鉴定测姿系统中的闭合差检验

简要介绍了GPS精度鉴定测姿系统构造原理,针对高动态条件下GPS精度评估与检验存在检核难的问题,设计了利用三角形闭合差进行检验方法,基于Visual C++编写了精度检验软件,经数据分析得出GPS高动态下的系统误差,该方法计算简单易于操作,有效利用了测姿系统冗余信息,具有较好的实用价值。     

Effects of laser beam alignment tolerance on lidar accuracy

One of the major lidar error sources not yet analyzed in the literature is the tolerance of the laser beam alignment with respect to the scanning mirror. In this paper, the problem of quantifying these errors is solved for rotating polygon mirror type lidar systems. An arbitrary deviation of the beam from its design direction–the vector of beam misalignment–can be described by two independent parameters. We choose these as horizontal and vertical components of the misalignment vector in the body frame. Either component affects both, horizontal and vertical lidar accuracy. Horizontal lidar errors appear as scan line distortions—along and across track shifts, rotations and scaling. It is shown that the horizontal component of misalignment results in a scan line first being shifted across the track and then rotated around the vertical at the new center of the scan line. Resulting vertical lidar error, being a linear function of the scan angle, is similar to that produced by a roll bias. The vertical component of the beam misalignment causes scan line scaling and an along track shift. The corresponding vertical error is quadratic with respect to the scan angle. The magnitude of these effects is significant even at tight alignment tolerances and cannot be realistically accounted for in the conventional calibration model, which includes only range, attitude and GPS biases. Therefore, in order to attain better accuracy, this model must be expanded to include the beam misalignment parameters as well. Addition of new parameters into the model raises a question of whether they can be reliably solved for. To give a positive answer to this question, a calibration method must utilize not only ground control information, which is typically very limited, but also the relative accuracy information from the overlapping flight lines.     

地图扫描数字化精度分析与误差分布检验

本文通过实验,比较不同的数字化方法的数据误差来源及误差控制方法,分析了成果数据的精度,并对误差分布进行了检验,得出了一些有益的结论.