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dc.contributor.authorJubair, Mohammad Imrulen_US
dc.contributor.authorAlim, Usmanen_US
dc.contributor.authorRöber, Niklasen_US
dc.contributor.authorClyne, Johnen_US
dc.contributor.authorMahdavi-Amiri, Alien_US
dc.contributor.editorMatthias Hullin and Marc Stamminger and Tino Weinkaufen_US
dc.date.accessioned2016-10-10T08:04:51Z
dc.date.available2016-10-10T08:04:51Z
dc.date.issued2016
dc.identifier.isbn978-3-03868-025-3
dc.identifier.issn-
dc.identifier.urihttp://dx.doi.org/10.2312/vmv.20161355
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/vmv20161355
dc.description.abstractThe icosahedral non-hydrostatic (ICON) model is a digital Earth model based on an icosahedral representation and used for numerical weather prediction. In this paper, we introduce icosahedral maps that are designed to fit the geometry of different cell configurations in the ICON model. These maps represent the connectivity information in ICON in a highly structured two-dimensional hexagonal representation that can be adapted to fit different cell configurations. Our maps facilitate the execution of a multiresolution analysis on the ICON model. We demonstrate this by applying a hexagonal version of the discrete wavelet transform in conjunction with our icosahedral maps to decompose ICON data to different levels of detail and to compress it via a thresholding of the wavelet coefficients.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACMCCS)
dc.subject
dc.subjectI.3.3 [Computer Graphics]
dc.subjectPicture/Image Generation
dc.subjectLine and curve generation
dc.titleIcosahedral Maps for a Multiresolution Representation of Earth Dataen_US
dc.description.seriesinformationVision, Modeling & Visualization
dc.description.sectionheadersRepresenting and Rendering Large Data
dc.identifier.doi10.2312/vmv.20161355
dc.identifier.pages161-168


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    ISBN 978-3-03868-025-3

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