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Extending marine GIS capabilities: 3D representation of fish aggregations using Delaunay tetrahedralisation and Alpha shapes / V. Carette in Geomatica, vol 62 n° 4 (December 2008)  

Public [article]  inGeomatica > vol 62 n° 4 (December 2008) . - pp 361 - 374 Titre : Extending marine GIS capabilities: 3D representation of fish aggregations using Delaunay tetrahedralisation and Alpha shapes Type de document : Article/Communication Auteurs : V. Carette, Auteur ; Mir Abolfazl Mostafavi, Auteur ; et al., Auteur Année de publication : 2008 Article en page(s) : pp 361 - 374 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG [Termes IGN] analyse de groupement [Termes IGN] habitat animal [Termes IGN] image acoustique [Termes IGN] modélisation 3D [Termes IGN] pêche [Termes IGN] poisson (faune aquatique) [Termes IGN] ressources aquatiques [Termes IGN] surveillance écologique [Termes IGN] système d'information géographique [Termes IGN] triangulation de Delaunay [Termes IGN] visualisation 3D Résumé : (Auteur) Geographic information systems (GIS) are generally used for representation, analysis and management of marine resource data. One of the most important resources intensively studied by marine biologists is fish stock dynamics. Fish aggregations are a fundamental component of fish stock dynamics that must be well understood to establish efficient recovery strategies in the context of declining aquatic resources. Despite many interesting capabilities of current GIS, these tools are prone to problems due to the 3D and dynamic nature of the marine data, including fisheries data. This paper proposes a new approach for modelling and visualizing fish aggregations in a 3D space. The proposed approach is based on an integrated approach using dynamic Delaunay tetrahedralization and the á-shapes 3D clustering algorithm. The proposed approach is first validated using several experimental data sets. Next, it is applied to acoustic fisheries data to extract, visualize and analyze fish aggregations. The proposed approach also has the potential for tracking and studying fish dynamics and behaviour, if needed. At the end of the paper, some results are presented, and the benefits and limitations of the proposed 3D model are discussed. Copyright Geomatica Numéro de notice : A2008-513 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.5623/geomat-2008-0042 En ligne : https://cdnsciencepub.com/doi/abs/10.5623/geomat-2008-0042 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29582 [article]

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