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Herausgeber: 
  • Siyka Zlatanova
  • Jiyeong Lee
  • 3D Geo-Information Sciences 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  November 2010  
    Genre:  Naturwissensch., Medizin, Technik 
     
    C / Computer Imaging, Vision, Pattern Recognition and Graphics / Computer Vision / Earth and Environmental Science / Geographical Information System / Geographical information systems / Geographical Information Systems/Cartography / Optical data processing
    ISBN:  9783642099519 
    EAN-Code: 
    9783642099519 
    Verlag:  Springer Nature EN 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  Lecture Notes in Geoinformation and Cartography  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Gewicht:  694 gr 
    Seiten:  435 
    Illustration:  XVII, 435 p. 
    Zus. Info:  Previously published in hardcover 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    In recent years 3D geo-information has become an important research area due to the increased complexity of tasks in many geo-scientific applications, such as sustainable urban planning and development, civil engineering, risk and disaster management and environmental monitoring. Moreover, a paradigm of cross-application merging and integrating of 3D data is observed. The problems and challenges facing today¿s 3D software, generally application-oriented, focus almost exclusively on 3D data transportability issues ¿ the ability to use data originally developed in one modelling/visualisation system in other and vice versa. Tools for elaborated 3D analysis, simulation and prediction are either missing or, when available, dedicated to specific tasks. In order to respond to this increased demand, a new type of system has to be developed. A fully developed 3D geo-information system should be able to manage 3D geometry and topology, to integrate 3D geometry and thematic information, to analyze both spatial and topological relationships, and to present the data in a suitable form. In addition to the simple geometry types like point line and polygon, a large variety of parametric representations, freeform curves and surfaces or sweep shapes have to be supported. Approaches for seamless conversion between 3D raster and 3D vector representations should be available, they should allow analysis of a representation most suitable for a specific application.

      
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