融合罗德里格矩阵和整体最小二乘的双目机器人手眼标定算法     

罗保林  张献州  罗超 《测绘科学技术学报》2019,36(3):244-249

针对传统双目式机器人手眼标定方法中未知量多、计算复杂的特点,研究并提出了一种基于罗德里格矩阵和整体最小二乘相融合的改进算法。其中罗德里格矩阵实现了对未知量的降维;整体最小二乘顾及了系数矩阵的误差。通过大量数据分析表明,改进后的手眼标定算法较传统方法在稳定性和精度上均有大幅提高,满足了机器人视觉系统在工业检测和制造领域中的高精度需求。  相似文献   

基于WSR框架的《开发区土地集约利用评价规程》指标体系分析     

胡石元  高浩然  唐旭  耿红  李桃桃 《测绘地理信息》2019,44(3):103-108

旨在剖析我国《开发区土地集约利用评价规程》中指标体系存在的问题并提出改进建议。在界定开发区土地集约利用内涵基础上,从要素特征(W维)、利用目标(R维)和评价过程(S维)等3个维度阐述了开发区土地集约利用评价的系统要求,构建关联分析矩阵,对《规程》中评价指标体系的特征差异化、层次完整性和目标关联性等3个方面进行了分析讨论。针对当前《规程》中存在的评价对象混杂、开发区类型需要细化、指标体系不完整、计算方法需修正等问题提出了相应修改建议。  相似文献   

Spatial-temporal characterization of the San Andreas Fault by fault-zone trapped waves at seismic experiment site,Parkfield, California          下载免费PDF全文

Yong-Gang Li 《地震科学（英文版）》2021,34(3):261-285

In this article, we review our previous research for spatial and temporal characterizations of the San Andreas Fault (SAF) at Parkfield, using the fault-zone trapped wave (FZTW) since the middle 1980s. Parkfield, California has been taken as a scientific seismic experimental site in the USA since the 1970s, and the SAF is the target fault to investigate earthquake physics and forecasting. More than ten types of field experiments (including seismic, geophysical, geochemical, geodetic and so on) have been carried out at this experimental site since then. In the fall of 2003, a pair of scientific wells were drilled at the San Andreas Fault Observatory at Depth (SAFOD) site; the main-hole (MH) passed a ～200-m-wide low-velocity zone (LVZ) with highly fractured rocks of the SAF at a depth of ～3.2 km below the wellhead on the ground level (Hickman et al., 2005; Zoback, 2007; Lockner et al., 2011). Borehole seismographs were installed in the SAFOD MH in 2004, which were located within the LVZ of the fault at ～3-km depth to probe the internal structure and physical properties of the SAF. On September 282004, a M6 earthquake occurred ～15 km southeast of the town of Parkfield. The data recorded in the field experiments before and after the 2004 M6 earthquake provided a unique opportunity to monitor the co-mainshock damage and post-seismic heal of the SAF associated with this strong earthquake. This retrospective review of the results from a sequence of our previous experiments at the Parkfield SAF, California, will be valuable for other researchers who are carrying out seismic experiments at the active faults to develop the community seismic wave velocity models, the fault models and the earthquake forecasting models in global seismogenic regions.  相似文献   

多接收电感耦合等离子体质谱Cu同位素测定中的干扰评估   总被引：15，自引：1，他引：14  

蔡俊军  朱祥坤  唐索寒  李世珍  何学贤 《高校地质学报》2006,12(3):392-397

多接收电感耦合等离子体质谱（MC—ICP—MS）是高精度测定铜同位素的新方法,然而在测定中也可能存在干扰。为此对MC—ICPMS Cu同位素测定中的可能干扰进行了评估。主要包括以下方面的内容：（1）对所用标准物质和试剂进行了纯化,所用标准物质和试剂对Cu同位素的同质异位素干扰可以忽略;（2）运用K和／参数进行了讨论,其中K为样品中的Cu浓度与标准溶液中Cu浓度的比值,f为在一定Cu浓度的标准溶液中干扰信号相对于^63Cu真实信号的比值。理论模拟表明,当K值小于1时,即使在质量为63处的干扰很小,对ε^65 Cu的影响也可能很大;（3）通过对理论模拟结果与实际测定结果的对比,发现对所用的试剂而言质量数为65的干扰可以忽略不计;（4）实际测定结果表明,当样品中Cu的浓度是标样中Cu的浓度的0．5～4倍时,测试获得的样品的ε^65值与其真值在误差范围内一致;（5）对潜在的基质效应重点研究了Fe和Co对Cu同位素测定的影响。实验结果表明,当Fe／Cu〈100,Co／Cu〈7时,Fe,Co不影响Cu同位素比值的测定;（6）10个月的重现性研究结果为ε^65=3．5±1．0（2SD）。该测定值在误差范围内与文献报道的值一致  相似文献   

基于MATLAB的基本矩阵随机采样鲁棒估计   总被引：2，自引：0，他引：2  

高晟丽  陈杰  李海滨 《海洋测绘》2006,26(3):31-33,38

基本矩阵的估算可以分为线性算法、非线性优化迭代算法、鲁棒估计算法三大类,而以鲁棒估计效率、效果最为突出,但是实现比较复杂。本文通过数码相机获取的两张未标定照片,采样互相关系数法和RANSAC算法,在MATLAB中实现了基本矩阵的自动拟合,实验表明拟合精度较高、速度快,为下一步三维场景的自动重建和量测奠定了基础。  相似文献   

面向离散点的空间权重矩阵生成算法与实证研究   总被引：2，自引：0，他引：2  

刘仲刚  李满春  刘剑锋  孙燕 《地理与地理信息科学》2006,22(3):53-56

采用阈值法和k-近邻法度量空间上离散点间的空间邻接关系,针对不同的距离计算方式(欧式距离和曼哈顿距离)设计了面向离散点的空间权重矩阵生成算法,使用C#语言在计算机上实现。用该算法对收集的8 367个常州市地价样点构建了不同土地用途地价样点的空间权重矩阵,并计算出分用途的常州市城市地价空间自相关指数。  相似文献   

应用分块矩阵求逆解算约束秩亏间接平差模型     

谢波  刘连旺 《大地测量与地球动力学》2021,41(2):157-161

在通常的四分块矩阵求广义逆矩阵和凯利逆矩阵公式基础上,分析左上角子矩阵为秩亏、右下角子矩阵为零的特殊四分块矩阵的凯利逆矩阵存在条件,应用广义逆矩阵法和矩阵变换法推导该类特殊四分块矩阵的凯利逆矩阵显性表达公式,并用于解算约束秩亏间接平差模型的参数估计.实验数据表明,当满足存在性条件时,应用分块矩阵求逆公式解算约束秩亏间接...  相似文献   

图像重建块迭代算法中松弛参数选取的研究     

孙杰  渠刚荣 《CT理论与应用研究》2007,16(2):14-19

在图像重建中,Landweber迭代算法是图像重建算法中的重要方法.本文将针对Landweber分块迭代算法中松弛参数的选取进行研究.在重建过程中采取对投影矩阵按投影角度分块的方法,选取特定的松弛参数.通过数值实验得出结论:对于按角度分块的块迭代算法,松弛参数选取为λ乘以块矩阵与其共轭转置矩阵乘积的最大特征值分之一,当采集完全投影数据,且λ接近(1/6)～(1/7)时效果最好.另外,本文按角度分块的做法和松弛参数的选取方法对于有限角度图像重建问题也是可行的.  相似文献   

In-season crop classification using elements of the Kennaugh matrix derived from polarimetric RADARSAT-2 SAR data     

《International Journal of Applied Earth Observation and Geoinformation》2020

Accurate spatio-temporal classification of crops is of prime importance for in-season crop monitoring. Synthetic Aperture Radar (SAR) data provides diverse physical information about crop morphology. In the present work, we propose a day-wise and a time-series approach for crop classification using full-polarimetric SAR data. In this context, the 4 × 4 real Kennaugh matrix representation of a full-polarimetric SAR data is utilized, which can provide valuable information about various morphological and dielectric attributes of a scatterer. The elements of the Kennaugh matrix are used as the parameters for the classification of crop types using the random forest and the extreme gradient boosting classifiers.The time-series approach uses data patterns throughout the whole growth period, while the day-wise approach analyzes the PolSAR data from each acquisition into a single data stack for training and validation. The main advantage of this approach is the possibility of generating an intermediate crop map, whenever a SAR acquisition is available for any particular day. Besides, the day-wise approach has the least climatic influence as compared to the time series approach. However, as time-series data retains the crop growth signature in the entire growth cycle, the classification accuracy is usually higher than the day-wise data.Within the Joint Experiment for Crop Assessment and Monitoring (JECAM) initiative, in situ measurements collected over the Canadian and Indian test sites and C-band full-polarimetric RADARSAT-2 data are used for the training and validation of the classifiers. Besides, the sensitivity of the Kennaugh matrix elements to crop morphology is apparent in this study. The overall classification accuracies of 87.75% and 80.41% are achieved for the time-series data over the Indian and Canadian test sites, respectively. However, for the day-wise data, a ∼6% decrease in the overall accuracy is observed for both the classifiers.  相似文献   

1992年以来盐城滨海湿地植被动态变化研究     

张佳佳  沈永明 《海洋科学》2018,42(8):14-21

基于1992～2016年4个时相的遥感数据, 对盐城滨海川东港至梁垛河口岸段进行景观分类, 分析湿地植被类型及分布, 借助转移矩阵法探究滨海湿地植被的时空演变。结果表明: 茅草、芦苇、碱蓬, 米草为川东港至梁垛河口段主要湿地植被类型。1992～2016年植被总面积减少, 其中茅草几近消失殆尽; 芦苇、碱蓬面积持续缩减; 米草面积大幅增长。1992～2000年植被面积快速缩减, 大面积的茅草碱蓬地被开发为耕地; 2000～2009年养殖塘侵占湿地植被, 规模剧增。2009～2016年, 米草向海方向扩张的同时靠陆侧转变为养殖塘。川东港至梁垛河口的植被演变是自然和人为共同作用的结果。一方面受淤积型海岸影响, 另一方面受政策引导下的各类滩涂开发活动, 及互花米草的引种所带来的快速扩散的影响。本文研究结果为盐城滨海湿地管理与可持续发展提供理论参考。  相似文献