MODELS OF COVARIANCE FUNCTIONS OF GAUSSIAN RANDOM FIELDS ESCAPING FROM ISOTROPY, STATIONARITY AND NON NEGATIVITY

MODELS OF COVARIANCE FUNCTIONS OF GAUSSIAN RANDOM FIELDS ESCAPING FROM ISOTROPY, STATIONARITY AND NON NEGATIVITY

This paper represents a survey of recent advances in modeling of space or space-time Gaussian Random Fields (GRF), tools of Geostatistics at hand for the understanding of special cases of noise in image analysis. They can be used when stationarity or isotropy are unrealistic assumptions, or even whe...

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Bibliographic Details
Main Authors: Pablo Gregori, Emilio Porcu, Jorge Mateu
Format: Article
Language:English
Published: Slovenian Society for Stereology and Quantitative Image Analysis 2014-03-01
Series:Image Analysis and Stereology
Subjects:
anisotropy
covariance model
Gaussian random field
non negativity
non stationarity
Online Access:http://www.ias-iss.org/ojs/IAS/article/view/1077

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