假3°带坐标系及关于大城市坐标系的建议

现时许多地方和工程坐标系在坐标数值和方位上与国家标准3°带里的偏差很大,使得其地形图无法与国家标准3°带的对接,并导致工程实践中许多的麻烦和不便;许多地方坐标系有效带宽太小。本文通过一个简单的公式,一次完成控制网的换带、旋转、放大、平移,获得控制网的"假3°带坐标系"坐标。假3°带坐标系具有诸多优点:坐标数值和方位与国家标准3°带的偏差极小,地形图可与国家的对接;有效带宽极大;便于CORS系统流动站使用;做法简单,适用广泛,可用于全国绝大部分地方坐标系。文章还对大城市坐标系的建立提出了有益建议。     

利用DINEOF方法重构缺测的卫星遥感海温数据

针对海温数据补缺问题提出一种基于经验正交函数(EOF)分解的缺测数据重构方法--经验正交函数插值法(DINEOF).此方法是一种自适应的EOF分解方法,不需要任何先验信息,并且能估算出重构数据的误差大小.奇异值(SVD)分解时采用了Lanczos算子以提高计算速度,并利用了交叉验证的算法以确定出重构时所需最优的EOF阶数.实测数据处理结果表明,DINEOF方法能很好地重构大面积的缺测数据,具有较高精度及实际可操作性.     

基于卷积神经网络的ICESat-2光子点云去噪分类

ICESat-2（Ice, Cloud, and land Elevation Satellite-2）是美国NASA（National Aeronautics and Space Administration）在2018年发射的激光测高卫星,其上搭载的激光测高系统ATLAS（Advanced Topographic Laser Altimeter System）采用微脉冲多波束光子计数激光雷达系统,因其低能耗、高探测灵敏度、高重复频率的特性极大改善了沿轨采样密度,但也使获取的数据中包含大量的噪声,如何有效实现光子点云去噪分类成为后续应用的关键,也是当前研究的热点和难点,为此本文提出一种基于卷积神经网络的光子点云去噪和分类算法。首先将光子点云按照沿轨和高程方向划分格网,去除明显的噪声光子,并将每个粗信号光子点栅格化为影像;然后基于少量样本构建的卷积神经网络分类模型实现光子点云精去噪和分类;最后利用机载激光雷达数据进行验证,并与ATL08产品的去噪分类结果进行对比。结果表明,对于裸地和森林区域,卷积神经网络算法均能有效去除噪声光子,特别对于森林区域,可同时实现去噪和分类;其中,裸地区域地表计算的R²和RMSE分别为1.0和0.72 m,森林区域地表和树冠计算的R²分别为1.0和0.70, RMSE分别为1.11 m和4.99 m。本文利用深度学习算法实现光子点云去噪分类,在裸地和森林区域均取得了较好的结果,为后续光子点云数据处理提供了参考。     

Nonlinear coupled analysis of a single point mooring system

Coupled effects on a single point mooring(SPM) system subjected to the combined action of wind,waves and current are studied in this paper. Due to the complicatedness of the sea state and the huge size of the vessel,physical experimental study is both time consuming and uneconomical,whereas the numerical study is cost-effective and DNV software provides powerful SESAM software in solving the issues. This paper focuses on the modeling process of the SPM system,catenary equilibrium calculation,static analysis of the vessel in three different scenarios,and dynamic response simulation of the SPM system under environmental excitations. The three scenarios in study are as follows:the SPM is under the combined function of(a) wind,waves and current,(b) wind and waves,(c) current and waves. They are so set that one can compare the contributions of different types of loads in both static and dynamic studies. Numerical study shows that wind and current are the two major factors contributing to the mooring line tension,and surge and sway are the two dominant motions of the moored vessel subjected to environmental excitations.     

基于地面三维激光扫描的桥梁挠度变形测量

将地面三维激光扫描技术应用到桥梁挠度变形测量。针对桥底面点云的具体特点,采用点云拟合计算方法和重心计算方法,分别获取不同荷载情况下的桥底挠度变化,并进行对比分析,初步确定其变形测量精度,验证了该技术在桥梁挠度变形测量中的可行性。     

近百年全球平均气温年际变率中的QBO长期变化特征

应用奇异谱分析(SSA)方法和奇异交叉谱分析(SCSA)方法，对全球及南北半球近100多年(1856～1997年)逐月地面气温距平序列中的准两年周期振荡(QBO)的长期演变特征进行诊断分析。结果表明:全球平均气温序列蕴含显著的QBO分量，它们与全球气候系统中其他各个子系统所隐含的QBO信号具有各种耦合对应关系，尤其突出地表现在Nino区海温和以SLP序列为代表的全球大气环流系统中QBO信号的耦合对应关系上。而平均气温的QBO的年代际特征及其变率的阶段性，不但表现在振幅上，而且其位相亦很明显。上述特征在全球、两半球具有明显的差异。     

基于损伤部位向量法的钢框架损伤识别研究

对损伤部位向量(DLV)法作了简单介绍,并用该方法对钢框架进行了损伤识别和损伤定位。该方法假定结构损伤前后为线性,对结构损伤前后柔度矩阵差进行奇异值分解,将奇异值为零所对应的向量,作为静荷载施加在无损结构的测点位置,则应力为零的单元为可能损伤的单元。对3种不同工况的钢框架进行了振动模态试验,用前3阶模态参数构造框架的柔度矩阵,按照DLV法对其进行了损伤识别,识别结果与已知损伤情况相一致。从测试自由度不完备、噪声和振型质量归一化系数这3个方面对识别效果进行了分析,结果表明:当损伤使结构动力特性有微小改变时,使用该方法不易定位损伤,应结合局部损伤识别方法进行判定;当损伤使结构动力特性有较大改变时,该方法能有效识别损伤的单元。DLV方法概念简单,理论明确,不受结构类型的限制,不需要结构的数学模型和模型缩聚或扩展技术,只需获得结构损伤前后的前几个低阶模态参数,即可识别结构一处或多处损伤,实际应用时可操作性强。     

基于势函数点分布调整的SIFT图像配准算法

尺度不变特征转换(scale invariant feature transform,SIFT)是一种广泛应用于图像配准领域的点特征提取算法。针对基于SIFT的图像自动配准算法存在的特征点分布不均匀问题,提出了一种基于势函数点分布调整的图像配准方法。该方法解决了SIFT算法不能针对特征点的分布情况进行优化的问题。通过调整SIFT的比值阈值,增加配准点的数目;通过引入分子力学中的势函数概念,对特征点分布情况进行优化;通过局部互信息精纠正,微调特征点位置,以提高特征配准点的配准精度;最终实现高质量(空间分布均衡,配准精度高)的图像自动配准。     

基于标点随机过程的遥感影像道路提取

在分析贝叶斯方法用于遥感影像目标提取技术的基础上,基于标点随机过程方法,利用线状地物的整体几何约束和地物之间的空间结构及相关关系对目标构建数学模型,提取线状地物,并以道路网的自动提取为例,详细阐述了此算法。     

Streamflow estimation using optimal regional dependency function

The determination of spatial dependency of regionalized variable (ReV) is important in engineering studies. Regional dependency function that leads to calculation of weighting coefficients is required in order to make regional or point‐wise estimations. After obtaining this dependency function, it is possible to complete missing records in the time series and locate new measurement station. Also determination of regional dependency function is also useful to understand the regional variation of ReV. Point Cumulative Semi‐Variogram (PCSV) is another methodology to understand the regional dependency of ReV related to the magnitude and the location. However, this methodology is not useful to determine the weighting coefficient, which is required to make regional and point‐wise estimations. However, in Point Semi‐Variogram (PSV) proposed here, weighting coefficient depends on both magnitude and location. Although the regional dependency function has a fluctuating structure in PSV approach, this function gradually increases with distance in PCSV. The study area is selected in Mississippi river basin with 38 streamflow stations used for PCSV application before. It is aimed to compare two different geostatistical models for the same data set. PSV method has an ability to determine the value of variable along with optimum number of neighbour stations and influence radius. PSV and slope PSV approaches are compared with the PCSV. It was shown that slope slope point semi‐variogram (SPSV) approaches had relative error below 5%, and PSV and PCSV methods revealed relative errors below 10%. Copyright © 2009 John Wiley & Sons, Ltd.