3D City Models; CityJSON; CityGML; Smart Cities; Point Cloud
Abstract :
[en] The combination between dense point clouds and 3D vector objects permits new cartographic representation of urban information.
This paper proposes an extension for the CityJSON encoding to support point clouds. Following the 3.0 CityGML specifications,
attributes and features are added to the core module of v1.0.1 CityJSON. Two solutions are proposed: inline complex geometries and
external link to a remote file. The extended schema can be illustrated in four scenarios: detailed features visualization, fall-back
solution in features reconstruction processes, simulating urban climate represented as vector fields, and true-to-life representation
solution for complex elements such as solitary vegetation objects. It permits 3D city modelers to handle points clouds in a native way
reducing files size and avoiding redundancy. All developments and documentation are available open-source.
Research center :
Geomatics Unit
Disciplines :
Computer science
Author, co-author :
Nys, Gilles-Antoine ; Université de Liège - ULiège > Département de géographie > Unité de Géomatique - Topographie et géométrologie
Kharroubi, Abderrazzaq ; Université de Liège - ULiège > Département de géographie > Unité de Géomatique - Topographie et géométrologie
Poux, Florent ; Université de Liège - ULiège > Département de géographie > Unité de Géomatique - Topographie et géométrologie
Billen, Roland ; Université de Liège - ULiège > Département de géographie > Unité de Géomatique - Topographie et géométrologie
Language :
English
Title :
An extension of CityJSON to support point clouds
Publication date :
30 June 2021
Event name :
XXIV ISPRS Congress
Event organizer :
International Society for Photogrammetry and Remote Sensing
Event place :
Nice, France
Event date :
from 05-07-2021 to 09-07-2021
Audience :
International
Journal title :
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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