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Strain estimation using ordinary Kriging interpolation
Survey Review, 2016The ordinary kriging interpolation method is adopted to estimate the 2-D strain tensor elements. The results are then compared with those of the linear and spline interpolation methods. The ordinary kriging method is implemented on 12 GPS permanent stations in South California, collected during 2006 to 2012.
Y. Ghiasi, V. Nafisi
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Texture Interpolation Using Ordinary Kriging
2005We present a survey of the application of ordinary Kriging to texture interpolation using a variety of models that have been proposed to model the variogram of the image. The novelty of our approach is in the fully automated process of fitting the models to the data over a finite range of values.
Sunil Chandra +2 more
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Comparing the robustness of ordinary kriging and lognormal kriging: Outlier resistance
Mathematical Geology, 1988Ordinary kriging is well-known to be optimal when the data have a multivariate normal distribution (and if the variogram is known), whereas lognormal kriging presupposes the multivariate lognormality of the data. But in practice, real data never entirely satisfy these assumptions.
M. Armstrong, A. Boufassa
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Stream Kriging: Incremental and recursive ordinary Kriging over spatiotemporal data streams
Computers & Geosciences, 2016Ordinary Kriging is widely used for geospatial interpolation and estimation. Due to the O(n3) time complexity of solving the system of linear equations, ordinary Kriging for a large set of source points is computationally intensive. Conducting real-time Kriging interpolation over continuously varying spatiotemporal data streams can therefore be ...
Zhong, X., Kealy, A., Duckham, M.
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Image restoration by fuzzy convex ordinary kriging
Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101), 2002Ordinary kriging and fuzzy sets are combined to derive a spatial filter for restoring degraded images. As kriging is a nonconvex estimation technique and negative kriging weights applied to image data can give estimates outside the range of pixel values. Convexity is therefore required in this image analysis to ensure no negative weights.
T.D. Pham, M. Wagner
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Ordinary Kriging Surrogates in Aerodynamics
2018This chapter describes the methodology used to construct Kriging-based surrogate models and their possible application to uncertainty quantification and robust shape optimization. More particularly, a two-dimensional RAE 2822 airfoil at transonic speed is considered for which the shape of the baseline profile is altered by localized bumps of small ...
Antoine Dumont +5 more
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Conditioning of coefficient matrices of Ordinary Kriging
Mathematical Geology, 1991zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Comparing Ordinary Kriging and Regression Kriging for Soil Properties in Contrasting Landscapes
Pedosphere, 2010Abstract The accuracy between ordinary kriging and regression kriging was compared based on the combined consideration of sample size, spatial structure, and auxiliary variables (terrain indices and electromagnetic induction surveys) for a variety of soil properties in two contrasting landscapes (agricultural vs. forested).
Q. ZHU, H.S. LIN
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Image restoration by ordinary kriging with convexity
Proceedings 15th International Conference on Pattern Recognition. ICPR-2000, 2002An ordinary kriging based approach for restoring degraded images is presented in this paper. Kriging is a nonconvex estimation technique and negative kriging weights applied to image data can give estimates outside the range of pixel values. Convexity is therefore required in this image analysis to ensure no negative weights.
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