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Article

CityJSON Building Generation from Airborne LiDAR 3D Point Clouds

Geomatics Unit, University of Liège (ULiège), Allée du six Août, 19, 4000 Liège, Belgium
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ISPRS Int. J. Geo-Inf. 2020, 9(9), 521; https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi9090521
Received: 17 July 2020 / Revised: 18 August 2020 / Accepted: 29 August 2020 / Published: 31 August 2020
(This article belongs to the Special Issue Automatic Feature Recognition from Point Clouds)
The relevant insights provided by 3D City models greatly improve Smart Cities and their management policies. In the urban built environment, buildings frequently represent the most studied and modeled features. CityJSON format proposes a lightweight and developer-friendly alternative to CityGML. This paper proposes an improvement to the usability of 3D models providing an automatic generation method in CityJSON, to ensure compactness, expressivity, and interoperability. In addition to a compliance rate in excess of 92% for geometry and topology, the generated model allows the handling of contextual information, such as metadata and refined levels of details (LoD), in a built-in manner. By breaking down the building-generation process, it creates consistent building objects from the unique source of Light Detection and Ranging (LiDAR) point clouds. View Full-Text
Keywords: LiDAR; 3D city models; CityJSON; smart cities; point cloud; segmentation; 3D modeling LiDAR; 3D city models; CityJSON; smart cities; point cloud; segmentation; 3D modeling
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MDPI and ACS Style

Nys, G.-A.; Poux, F.; Billen, R. CityJSON Building Generation from Airborne LiDAR 3D Point Clouds. ISPRS Int. J. Geo-Inf. 2020, 9, 521. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi9090521

AMA Style

Nys G-A, Poux F, Billen R. CityJSON Building Generation from Airborne LiDAR 3D Point Clouds. ISPRS International Journal of Geo-Information. 2020; 9(9):521. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi9090521

Chicago/Turabian Style

Nys, Gilles-Antoine, Florent Poux, and Roland Billen. 2020. "CityJSON Building Generation from Airborne LiDAR 3D Point Clouds" ISPRS International Journal of Geo-Information 9, no. 9: 521. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi9090521

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