Models of covariance functions of gaussian random fields escaping from isotropy, stationarity and non negativity
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Models of covariance functions of gaussian random fields escaping from isotropy, stationarity and non negativityData de publicació
2014-01Editor
International Society for StereologyISSN
1854-5165; 1580-3139Cita bibliogràfica
GREGORI, Pablo; PORCU, Emilio; MATEU, Jorge. Models of covariance functions of Gaussian random fields escaping from isotropy, stationarity and non negativity. Image Analysis & Stereology, 2014, vol. 33, no 1, p. 75-81.Tipus de document
info:eu-repo/semantics/articleVersió de l'editorial
http://www.ias-iss.org/ojs/IAS/article/view/1077Versió
info:eu-repo/semantics/publishedVersionParaules clau / Matèries
Resum
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 ... [+]
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 when negative covariance between some couples of locations are evident. We show some strategies in order to escape from these restrictions, on the basis of rich classes of well known stationary or isotropic non negative covariance models, and through suitable operations, like linear combinations, generalized means, or with particular Fourier transforms. [-]
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Image Analysis & Stereology, 2014, vol. 33, No 1Drets d'accés
info:eu-repo/semantics/openAccess
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