{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,8]],"date-time":"2026-02-08T07:18:35Z","timestamp":1770535115306,"version":"3.49.0"},"reference-count":50,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2019,1,23]],"date-time":"2019-01-23T00:00:00Z","timestamp":1548201600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>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\u2019s 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\u2019s 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.<\/jats:p>","DOI":"10.3390\/rs11030236","type":"journal-article","created":{"date-parts":[[2019,1,24]],"date-time":"2019-01-24T11:12:48Z","timestamp":1548328368000},"page":"236","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["3D Viewpoint Management and Navigation in Urban Planning: Application to the Exploratory Phase"],"prefix":"10.3390","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1949-1332","authenticated-orcid":false,"given":"Romain","family":"Neuville","sequence":"first","affiliation":[{"name":"Geomatics Unit, Li\u00e8ge University (ULiege), Quartier Agora, All\u00e9e du Six-Ao\u00fbt, 19, 4000 Li\u00e8ge, Belgium"}]},{"given":"Jacynthe","family":"Pouliot","sequence":"additional","affiliation":[{"name":"Department of Geomatics Sciences, Laval University, Pavillon Louis-Jacques-Casault 1055, Avenue du S\u00e9minaire, Bureau 1315, Qu\u00e9bec, QC G1V 5C8, Canada"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6368-4399","authenticated-orcid":false,"given":"Florent","family":"Poux","sequence":"additional","affiliation":[{"name":"Geomatics Unit, Li\u00e8ge University (ULiege), Quartier Agora, All\u00e9e du Six-Ao\u00fbt, 19, 4000 Li\u00e8ge, Belgium"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3101-8057","authenticated-orcid":false,"given":"Roland","family":"Billen","sequence":"additional","affiliation":[{"name":"Geomatics Unit, Li\u00e8ge University (ULiege), Quartier Agora, All\u00e9e du Six-Ao\u00fbt, 19, 4000 Li\u00e8ge, Belgium"}]}],"member":"1968","published-online":{"date-parts":[[2019,1,23]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1007\/s11528-012-0559-3","article-title":"Augmented Reality in Education and Training","volume":"56","author":"Lee","year":"2012","journal-title":"TechTrends"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"392","DOI":"10.1111\/j.1365-2729.2006.00180.x","article-title":"Who benefits from learning with 3D models? 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