Next Article in Journal
A New Method for Large-Scale Landslide Classification from Satellite Radar
Next Article in Special Issue
Identifying a Slums’ Degree of Deprivation from VHR Images Using Convolutional Neural Networks
Previous Article in Journal
Pixel-Based Geometric Assessment of Channel Networks/Orders Derived from Global Spaceborne Digital Elevation Models
Previous Article in Special Issue
Road Information Extraction from High-Resolution Remote Sensing Images Based on Road Reconstruction
Open AccessArticle

3D Viewpoint Management and Navigation in Urban Planning: Application to the Exploratory Phase

1
Geomatics Unit, Liège University (ULiege), Quartier Agora, Allée du Six-Août, 19, 4000 Liège, Belgium
2
Department of Geomatics Sciences, Laval University, Pavillon Louis-Jacques-Casault 1055, Avenue du Séminaire, Bureau 1315, Québec, QC G1V 5C8, Canada
*
Author to whom correspondence should be addressed.
Remote Sens. 2019, 11(3), 236; https://doi.org/10.3390/rs11030236
Received: 23 November 2018 / Revised: 17 January 2019 / Accepted: 22 January 2019 / Published: 23 January 2019
(This article belongs to the Special Issue Remote Sensing-Based Urban Planning Indicators)
3D geovisualization is essential in urban planning as it assists the analysis of geospatial data and decision making in the design and development of land use and built environment. However, we noted that 3D geospatial models are commonly visualized arbitrarily as current 3D viewers often lack of design instructions to assist end users. This is especially the case for the occlusion management in most 3D environments where the high density and diversity of 3D data to be displayed require efficient visualization techniques for extracting all the geoinformation. In this paper, we propose a theoretical and operational solution to manage occlusion by automatically computing best viewpoints. Based on user’s parameters, a viewpoint management algorithm initially calculates optimal camera settings for visualizing a set of 3D objects of interest through parallel projections. Precomputed points of view are then integrated into a flythrough creation algorithm for producing an automatic navigation within the 3D geospatial model. The algorithm’s usability is illustrated within the scope of a fictive exploratory phase for the public transport services access in the European quarter of Brussels. Eventually, the proposed algorithms may also assist additional urban planning phases in achieving their purposes. View Full-Text
Keywords: 3D geovisualization; visualization pipeline; 3D geospatial data; virtual 3D city model; viewpoint; occlusion; camera; urban planning; planning activities; urban indicators 3D geovisualization; visualization pipeline; 3D geospatial data; virtual 3D city model; viewpoint; occlusion; camera; urban planning; planning activities; urban indicators
Show Figures

Graphical abstract

MDPI and ACS Style

Neuville, R.; Pouliot, J.; Poux, F.; Billen, R. 3D Viewpoint Management and Navigation in Urban Planning: Application to the Exploratory Phase. Remote Sens. 2019, 11, 236.

AMA Style

Neuville R, Pouliot J, Poux F, Billen R. 3D Viewpoint Management and Navigation in Urban Planning: Application to the Exploratory Phase. Remote Sensing. 2019; 11(3):236.

Chicago/Turabian Style

Neuville, Romain; Pouliot, Jacynthe; Poux, Florent; Billen, Roland. 2019. "3D Viewpoint Management and Navigation in Urban Planning: Application to the Exploratory Phase" Remote Sens. 11, no. 3: 236.

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop