Results 211 to 220 of about 7,767 (249)

Image restoration by fuzzy convex ordinary kriging

Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101), 2002
Ordinary 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.
Tuan D. Pham, Michael Wagner 0004
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An Equivalence between SILF-SVR and Ordinary Kriging

Neural Processing Letters, 2006
Support vector regression (SVR) is a powerful learning technique in the framework of statistical learning theory, while Kriging is a well-entrenched prediction method traditionally used in the spatial statistics field. However, the two techniques share the same framework of reproducing kernel Hilbert space.
Wensen An, Yanguang Sun
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Texture Interpolation Using Ordinary Kriging

2005
We 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, Maria Petrou, Roberta Piroddi   +2 more
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Image restoration by ordinary kriging with convexity

Proceedings 15th International Conference on Pattern Recognition. ICPR-2000, 2002
An 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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Conditioning of coefficient matrices of Ordinary Kriging

Mathematical Geology, 1991
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Ordinary Kriging Surrogates in Aerodynamics

2018
This 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, Jean-Luc Hantrais-Gervois, Pierre-Yves Passaggia, Jacques Peter, Itham Salah el Din, Éric Savin   +5 more
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Comparing Ordinary Kriging and Regression Kriging for Soil Properties in Contrasting Landscapes

Pedosphere, 2010
Abstract 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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An Alternative Measure of the Reliability of Ordinary Kriging Estimates

Mathematical Geology, 2000
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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On the reduction of the ordinary kriging smoothing effect

2011
This study proposes a simple but novel and applicable approach to solve the problem of smoothing effect of ordinary kriging estimates. This approach is based on transformation equation in which Z scores are derived from ordinary kriging estimates and then rescaled by the standard deviation of sample data with addition of the mean value of original ...
Rezaee, H., Asghari, O., Yamamoto, J.K.
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Strain estimation using ordinary Kriging interpolation

Survey Review, 2016
The 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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