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排序方式: 共有2026条查询结果,搜索用时 46 毫秒
101.
ZHANG ZuxunHU XiangyunZHANG Jianqing 《地球空间信息科学学报》2001,4(4):49-55
1 IntroductionAtpresent,manycommercialdigitalphotogram metricworkstations (DPW )havebeendevelopedandappliedintopracticalproduction .Mostofthemcanautomatically generatedigitalterrainmodel(DTM)anddigitalortho_image (DOM ) ,buttherearenotanysystemswhichcanautoma… 相似文献
102.
103.
立体影像匹配是自动提取SPOT影像高程信息的关键技术。本文根据SPOT影像在几何构像关系和影像质量上的特点,提出了多级匹配的结构策略。实际像对匹配实验表明,多级匹配法具有较好的可靠性和精度水平,而且运算速度快,在快速生成DEM数据辅助遥感信息分析方面,有重要的应用价值。 相似文献
104.
Generalized cross-validation for covariance model selection 总被引:4,自引:0,他引:4
Denis Marcotte 《Mathematical Geology》1995,27(5):659-672
A weighted cross-validation technique known in the spline literature as generalized cross-validation (GCV), is proposed for covariance model selection and parameter estimation. Weights for prediction errors are selected to give more importance to a cluster of points than isolated points. Clustered points are estimated better by their neighbors and are more sensitive to model parameters. This rational weighting scheme also provides a simplifying significantly the computation of the cross-validation mean square error of prediction. With small- to medium-size datasets, GCV is performed in a global neighborhood. Optimization of usual isotropic models requires only a small number of matrix inversions. A small dataset and a simulation are used to compare performances of GCV to ordinary cross-validation (OCV) and least-squares filling (LS). 相似文献
105.
对平稳的数据和非平稳数据两种数据序列建立的GM(1,1)模型,分别用加速遗传算法(AGA)和最小二乘法(LSM)对模型参数求解。结果表明:对平稳变化数据序列,两种方法建立的预测模型的拟合优度和预测精度无显著差异;对变化幅度较大的非平稳数据序列,基于AGA的GM(1,1)模型的拟合优度和预测精度高于基于LSM的GM(1,1)模型的拟合优度和预测精度。 相似文献
106.
This paper analyses the topographic context of the remaining glaciated areas in the Maladeta Massif (Central Spanish Pyrenees). These ice‐covered surfaces have been incorporated into a geographic information system (GIS) in an attempt at correlating the presence of ice with a range of topographic variables obtained from a digital elevation model. The use of generalized additive models and binary regression tree models enabled us (i) to quantify the spatial variability in the distribution of glaciers attributable to characteristics of the local terrain, (ii) to investigate the interaction between the variables that account for the ice cover distribution and (iii) to map the probability of glacier development. Our results show that although the development of glaciers depends on regional climate conditions, the topographic context is of paramount importance in determining the location, extent, shape and recent evolution of each glacial body. Thus, the joint effect of altitude, exposure to incoming solar radiation, slope and mean curvature is able to explain more than 70 per cent of the observed variance. Copyright © 2006 John Wiley & Sons, Ltd. 相似文献
107.
Modelling peak accelerations from earthquakes 总被引:1,自引:0,他引:1
This paper deals with the prediction of peak horizontal accelerations with emphasis on seismic risk and insurance concerns. Non‐linear mixed effects models are used to analyse well‐known earthquake data and the consequences of mis‐specifying assumptions on the error term are quantified. A robust fit of the usual model, using recently developed robust weighted maximum likelihood estimators, is presented. Outlying data are automatically identified and subsequently investigated. A more appropriate model accounting for the extreme value nature of the responses, is also developed and implemented. The implication on acceleration predictions is demonstrated. Copyright © 2006 John Wiley & Sons, Ltd. 相似文献
108.
基于Hough变换的建筑物半自动提取 总被引:1,自引:0,他引:1
提出了一种基于Hough变换的建筑物半自动提取方法.该方法针对由人工给定建筑物的初始角点并通过统计屋顶主方向对Hough变换的搜索范围和搜索角度进行限制,从而稳定快速地提取出屋顶的边缘.然后利用最小二乘的方法对提取出的屋顶边缘进行精确对中,实现了对平顶直角建筑物以及人字形建筑物的有效提取. 相似文献
109.
The inequality-constrained least squares (ICLS) problem can be solved by the simplex algorithm of quadratic programming. The ICLS problem may also be reformulated as a Bayesian problem and solved by using the Bayesian principle. This paper proposes using the aggregate constraint method of non-linear programming to solve the ICLS problem by converting many inequality constraints into one equality constraint, which is a basic augmented Lagrangean algorithm for deriving the solution to equality-constrained non-linear programming problems. Since the new approach finds the active constraints, we can derive the approximate algorithm-dependent statistical properties of the solution. As a result, some conclusions about the superiority of the estimator can be approximately made. Two simulated examples are given to show how to compute the approximate statistical properties and to show that the reasonable inequality constraints can improve the results of geodetic network with an ill-conditioned normal matrix. 相似文献
110.