Results 11 to 20 of about 12,470 (233)
Kriging Interpolation for Constructing Database of the Atmospheric Refractivity in Korea
Remote SensingThis paper presents a Kriging interpolation method for constructing a database of atmospheric refractivity in Korea. To collect as much data as possible for the interpolation, meteorological data from 120 regions of Korea, including both land and sea ...
Doyoung Jang +2 more
exaly +4 more sources
Application of a semivariogram based on a deep neural network to Ordinary Kriging interpolation of elevation data. [PDF]
PLoS ONE, 2022 The Ordinary Kriging method is a common spatial interpolation algorithm in geostatistics. Because the semivariogram required for kriging interpolation greatly influences this process, optimal fitting of the semivariogram is of major significance for ...
Yang Li +3 more
doaj +2 more sources
Kriging for interpolation in random simulation [PDF]
Journal of the Operational Research Society, 2003 Whenever simulation requires much computer time, interpolation is needed. There are several interpolation techniques in use (for example, linear regression), but this paper focuses on Kriging.This technique was originally developed in geostatistics by D.G.Krige, and has recently been widely applied in deterministic simulation.This paper, however ...
van Beers, W.C.M., Kleijnen, J.P.C.
core +7 more sources
Facies-Constrained Kriging Interpolation Method for Parameter Modeling
Remote SensingIn seismic exploration, establishing a reliable parameter model (such as velocity, density, impedance) is crucial for seismic migration imaging and reservoir characterization.
Huazhong Wang +2 more
exaly +4 more sources
Raster data projection transformation based-on Kriging interpolation approximate grid algorithm
AEJ - Alexandria Engineering Journal, 2021 To solve the problems of small area, slow calculation speed and low precision in the projection transformation algorithm of raster data, the idea of using Kriging interpolation approximate grid algorithm for raster data projection transformation is ...
Junzhen Meng
exaly +3 more sources
Dispersion Curve Interpolation Based on Kriging Method
Applied Sciences, 2023 Volcanic eruptions significantly impact human life. However, real-time high-precision imaging in this context still has limitations. Spatial–temporal interpolation can replace real-time data imaging, in order to obtain the state of a given volcano at any
Han Zhang, You Tian, Pengfei Zhao
doaj +2 more sources
Geostatistical interpolation by quantile kriging [PDF]
Hydrology and Earth System Sciences, 2019 The widely applied geostatistical interpolation methods of ordinary kriging (OK) or external drift kriging (EDK) interpolate the variable of interest to the unknown location, providing a linear estimator and an estimation variance as measure of ...
H. Lebrenz, H. Lebrenz, A. Bárdossy
doaj +5 more sources
Super-Resolution Reconstruction of Depth Image Based on Kriging Interpolation
Applied Sciences, 2023 The super-resolution of depth images is a research hotspot. In this study, the classical Kriging algorithm is applied to the spatial interpolation of depth images, together with the fractional-order differential method for edge recognition, to realise ...
Tingsheng Huang +4 more
doaj +2 more sources
ISPRS International Journal of Geo-Information, 2017 In this study, different interpolation techniques are presented, assessed, and compared for the estimation of soil iron (Fe) contents in locations where observations were not available.
Panagiotis Tziachris
exaly +3 more sources
Global‐Krigger: A Global Kriging Interpolation Toolbox With Paleoclimatology Examples
Geochemistry, Geophysics, Geosystems, 2023 Many applications in Earth sciences require spatial prediction, that is, obtaining a continuous scalar field from a set of discrete scalar data points on the Earth's surface.
N. J. Cosentino +4 more
doaj +2 more sources