Results 201 to 210 of about 20,932 (245)

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
openaire   +1 more source

Comparing the robustness of ordinary kriging and lognormal kriging: Outlier resistance

Mathematical Geology, 1988
Ordinary 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
openaire   +1 more source

Stream Kriging: Incremental and recursive ordinary Kriging over spatiotemporal data streams

Computers & Geosciences, 2016
Ordinary 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.
openaire   +2 more sources

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.
T.D. Pham, M. Wagner
openaire   +1 more source

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
openaire   +1 more source

Conditioning of coefficient matrices of Ordinary Kriging

Mathematical Geology, 1991
zbMATH 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, 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
openaire   +1 more source

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.
openaire   +1 more source

Spatial Variability of Rock Depth Using Simple Kriging, Ordinary Kriging, RVM and MPMR

Geotechnical and Geological Engineering, 2014
The determination of rock depth is an important task in geotechnical and geological engineering. This article examines the capability of simple kriging, ordinary kriging, Relevance Vector Machine (RVM) and Minimax Probability Machine Regression (MPMR) for prediction of rock depth at any point in Vellore(India).
R. Viswanathan, J. Jagan, Pijush Samui, P. Porchelvan   +3 more
openaire   +1 more source

Spatiotemporal Modelling: Covariances and Ordinary Kriging Systems

1994
This paper presents results on the geostatistical modelling of spatiotemporal data. Permissible space-time covariances and ordinary kriging are considered.
Roussos Dimitrakopoulos, Xiaochun Luo
openaire   +1 more source