Estimation of statistical parameters for censored lognormal hydraulic conductivity measurements     

Xian-Huan Wen 《Mathematical Geology》1994,26(6):717-731

Field tests of hydraulic conductivity (e.g., injection test, pumping test, etc.) in low permeability formations are subject to censoring due to the detection limit of the instruments used. An iterative method of estimating the mean and variance of hydraulic conductivity data with a presumed log-normal distribution function is presented. This method accounts for the data that are actually below the lower detection limit (called truncated data) and thus gives distribution parameters that are more representative for the underlying distribution. The proposed method is then tested on two simulated normally distributed random datasets having different variances. The results show that the means and variances estimated by the proposed method are very accurate. Finally, the method is used to estimate the mean and variance of hydraulic conductivity data from single hole water injection tests in a fractured geological formation.  相似文献   

Estimation of covariance matrix from geochemical data with observations below detection limits     

Chang-Jo F. Chung 《Mathematical Geology》1993,25(7):851-865

Multivariate statistical analyses have been extensively applied to geochemical measurements to analyze and aid interpretation of the data. Estimation of the covariance matrix of multivariate observations is the first task in multivariate analysis. However, geochemical data for the rare elements, especially Ag, Au, and platinum-group elements, usually contain observations the below detection limits. In particular, Instrumental Neutron Activation Analysis (INAA) for the rare elements produces multilevel and possibly extremely high detection limits depending on the sample weight. Traditionally, in applying multivariate analysis to such incomplete data, the observations below detection limits are first substituted, for example, each observation below the detection limit is replaced by a certain percentage of that limit, and then the standard statistical computer packages or techniques are used to obtain the analysis of the data. If a number of samples with observations below detection limits is small, or the detection limits are relatively near zero, the results may be reasonable and most geological interpretations or conclusions are probably valid. In this paper, a new method is proposed to estimate the covariance matrix from a dataset containing observations below multilevel detection limits by using the marginal maximum likelihood estimation (MMLE) method. For each pair of variables, sayY andZ whose observations containing below detection limits, the proposed method consists of three steps: (i) for each variable separately obtaining the marginal MLE for the means and the variances, , , , and forY andZ: (ii) defining new variables by and and lettingA=C+D andB=C–D, and obtaining MLE for variances, and forA andB; (iii) estimating the correlation coefficient _YZ by and the covariance _YZ by . The procedure is illustrated by using a precious metal geochemical data set from the Fox River Sill, Manitoba, Canada.  相似文献   

基于FPN Res-Unet的高分辨率遥感影像建筑物变化检测     

王明常  朱春宇  陈学业  王凤艳  李婷婷  张海明  韩有文 《吉林大学学报(地球科学版)》2021,51(1):296-306

针对城市土地资源变化检测工作繁杂、工作量大、自动化程度低等问题，本文提出一种基于深度学习模型的高分辨率遥感影像建筑物变化检测方法，将语义分割的思想引入到遥感变化检测。基于残差结构特征较卷积层提取性能更优和特征金字塔网络多尺度预测的特点，将残差结构和特征金字塔网络融合到Unet模型中，建立FPN Res-Unet模型。该模型以Unet为基础，引入ResNet18的残差结构作为编码路径特征提取层，在每次卷积后使用边界填充，使得输入图像和输出图像尺寸一致；在解码路径每级上采样过程中，拓展支路径将特征金字塔网络融合到模型的网络主干中，将残差结构、Unet及特征金字塔网络的优点相互融合，增强了Unet的特征提取，弥补了语义分割网络对小目标检测的欠缺；在获取深层语义信息的同时关注细节信息，提高建筑物变化检测精度。实验表明，该方法在所用数据集，准确率、召回率、F₁ 3种指标均达到90%以上。  相似文献   

Global climatic change – the latest scientific understanding     

Bruce A. Callander 《GeoJournal》1997,42(1):55-63

IPCCs statement in its 1995 report (IPCC 1996) that a human influence was discernible in global climate has been widely quoted but often misunderstood. The character of the evidence underpinning this detection statement is explained so that its strengths and weaknesses can be better understood and the subtleties of its message better appreciated. To demonstrate the close linkage between the government-approved summary and the underlying chapters of the IPCC report the detailed evolution of the detection statement from first draft through to the form finally approved by the IPCC is described.  相似文献   

The detection of low magnitude seismic events using array-based waveform correlation   总被引：12，自引：0，他引：12  

Steven J. Gibbons  Frode Ringdal 《Geophysical Journal International》2006,165(1):149-166

  相似文献   

圆形标志中心子像素定位方法的研究与实现   总被引：18，自引：1，他引：18  

黄桂平 《武汉大学学报(信息科学版)》2005,30(5):388-391

采用回光反射材料制作圆形回光反射标志，经摄影后得到标志的“准二值影像”；对标志的椭圆影像进行亚像素边缘提取，经最小二乘椭圆拟合后得到标志中心的子像素级位置。试验表明，可以达到0．02像素的定位精度。  相似文献   

图像平滑算法比较研究及改进策略   总被引：9，自引：0，他引：9  

秦志远 吴冰王艳  山海涛 《测绘学院学报》2005,22(2):103-106

图像平滑作为去除图像中含有噪声的图像增强处理技术，是各种与图像有关软件中必不可少的功能模块。文中在分析噪声模型的基础上，对均值平滑、中值平滑、边缘保持平滑等技术从图像处理空间域中的算法原理、实现方法及效率等方面进行了详细比较。针对图像中含有的不同噪声模型，通过多次试验，得出了值得从事图像处理研究者参考的结论。这将有助于提高图像处理软件开发的效率。  相似文献   

基于预测的边缘检测方法   总被引：3，自引：0，他引：3  

王晖  卢健 《武汉大学学报(信息科学版)》2005,30(1):23-26

提出了一种基于预测的、有一定自适应性的边缘检测方法。介绍了其原理和算法实现过程。通过计算两个相邻像素的灰度值的均值、均方差和梯度来预测下一个像素的灰度值，比较预测值和真实值来判断下一个像素是否是边界点。通过与现有同类算法的比较，证明了该算法的优越性。  相似文献   

多时相组合分类法在土地利用动态监测中的应用   总被引：16，自引：0，他引：16  

张红  舒宁  刘刚 《武汉大学学报(信息科学版)》2005,30(2):131-134

介绍了土地利用遥感动态监测的基本概念，简述了遥感土地利用变化信息提取等遥感监测方法．重点探讨了多时相组合分类方法的相关技术。对广西2002年和2003年两个时相的MODIS数据．采用多时相直接分类法对土地利用变化状况进行了遥感动态监测。对不同方式波段组合的试验表明。经过差值、比值处理的波段组合具有较差的试验效果(总体精度只有30％～40％)，而经过PCA变换的波段组合则具有相对较好的试验效果(总体精度超过70％)。  相似文献   

探地雷达在吉林西部地区探测土壤碱化层   总被引：7，自引：0，他引：7  

薛建  曾昭发  田刚  王者江 《物探与化探》2005,29(5):421-424

吉林西部盐碱地区的探地雷达调查表明,盐碱地与耕地土的雷达回波具有明显差别,根据振幅的衰减特征可以精确区分耕地与盐碱地,根据频谱中高频峰值与土壤有机质含量的相关性可定性评价土壤的盐碱化程度.在雷达瞬时振幅图上,可将盐碱地纵向剖面分为盐分积累带和过渡带.采用探地雷达方法可快速了解盐碱化程度在深度方向上的变化,适宜开展大面积地面调查.  相似文献