Inhomogeneous spatial modelling of DPT pulses for marine images

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dc.contributor.author Fabris-Rotelli, Inger Nicolette
dc.contributor.author Stein, Alfred
dc.date.accessioned 2018-10-01T09:30:22Z
dc.date.issued 2018-12
dc.description.abstract The Discrete Pulse Transform (DPT) is a nonlinear decomposition of a signal and extracts the structures in a signal at discrete scale levels. This study models the image structure extracted using the DPT as connected components. For this purpose, the Matérn cluster process is being used as it mimics the pulses of the DPT as clusters. In this paper it is applied to a marine image. Inhomogeneity of the pattern is dealt with by means of the fitted intensity. The model residuals exhibited the same pattern as the original image, and a refit resulted in residuals without pattern. The study concludes that the Matérn cluster model well fits the pulses obtained using the DPT and is well able to model the wave pulses of the ocean surface as clusters. This type of hierarchical cluster modelling presents interesting opportunities for simulations via conditioning. en_ZA
dc.description.department Statistics en_ZA
dc.description.embargo 2019-12-01
dc.description.librarian hj2018 en_ZA
dc.description.sponsorship In part by the National Research Foundation of South Africa (SARChI Research Chair-UID: 71199). en_ZA
dc.description.uri http://www.elsevier.com/locate/spasta en_ZA
dc.identifier.citation Fabris-Rotelli, I. & Stein, A. 2018, 'Inhomogeneous spatial modelling of DPT pulses for marine images', Spatial Statistics, vol. 28, pp. 257-270. en_ZA
dc.identifier.issn 2211-6753 (online)
dc.identifier.other 10.1016/j.spasta.2018.08.004
dc.identifier.uri http://hdl.handle.net/2263/66672
dc.language.iso en en_ZA
dc.publisher Elsevier en_ZA
dc.rights © 2018 Elsevier B.V. All rights reserved. Notice : this is the author’s version of a work that was accepted for publication in Spatial Statistics. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. A definitive version was subsequently published in Spatial Statistics, vol. 28, pp. 257-27, 2018. doi : 10.1016/j.spasta.2018.08.004. en_ZA
dc.subject Discrete pulse transform (DPT) en_ZA
dc.subject Matérn cluster process en_ZA
dc.subject Spatial modelling en_ZA
dc.subject Inhomogeneity en_ZA
dc.subject LULU operators en_ZA
dc.subject Big spatial data en_ZA
dc.title Inhomogeneous spatial modelling of DPT pulses for marine images en_ZA
dc.type Postprint Article en_ZA


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