Multi-resolution Morphological Representation of Terrains

dc.contributor.authorDanovaro, E.en_US
dc.contributor.authorFloriani, L. Deen_US
dc.contributor.authorVitali, M.en_US
dc.contributor.authorPapaleo, L.en_US
dc.contributor.editorS. Battiato and G. Gallo and F. Stancoen_US
dc.date.accessioned2014-01-27T16:20:39Z
dc.date.available2014-01-27T16:20:39Z
dc.date.issued2006en_US
dc.description.abstractMesh-based terrain representations provide accurate descriptions of a terrain, but fail in capturing its morphological structure. The morphology of a terrain is defined by its critical points and by the critical lines joining them, which form a so-called surface network. Besides being compact, a morphological terrain description supports a knowledge-based approach to the analysis, visualization and understanding of a terrain dataset. Moreover, because of the large size of current terrain data sets, a multi-resolution representation of the terrain morphology is crucial. Here, we address the problem of representing the morphology of a terrain at different resolutions. The basis of the multi-resolution terrain model, that we call a Multi-resolution Surface Network (MSN), is a generalization operator on a surface network, which produces a simplified representation incrementally. An MSN is combined with a multi-resolution mesh-based terrain model, which encompasses the terrain morphology at different resolutions. We show how variable-resolution representations can be extracted from an MSN, and we present also an implementation of an MSN in a compact encoding data structure.en_US
dc.description.seriesinformation4th Eurographics Italian Chapter Conferenceen_US
dc.identifier.isbn3-905673-58-4en_US
dc.identifier.urihttps://doi.org/10.2312/LocalChapterEvents/ItalianChapConf2006/045-051en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): I.3.3 [Algorithms]: Terrain models, morphology, generalization, hierarchical modelsen_US
dc.titleMulti-resolution Morphological Representation of Terrainsen_US
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