Models of covariance functions of gaussian random fields escaping from isotropy, stationarity and non negativity
View/ Open
Metadata
Show full item recordcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/43662
comunitat-uji-handle3:10234/43643
comunitat-uji-handle4:
INVESTIGACIONMetadata
Title
Models of covariance functions of gaussian random fields escaping from isotropy, stationarity and non negativityDate
2014-01Publisher
International Society for StereologyISSN
1854-5165; 1580-3139Bibliographic citation
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.Type
info:eu-repo/semantics/articlePublisher version
http://www.ias-iss.org/ojs/IAS/article/view/1077Version
info:eu-repo/semantics/publishedVersionSubject
Abstract
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. [-]
Is part of
Image Analysis & Stereology, 2014, vol. 33, No 1Rights
info:eu-repo/semantics/openAccess
This item appears in the folowing collection(s)
- INIT_Articles [743]
The following license files are associated with this item: