Orthophoto generation from unorganized point clouds

Tournas, L; Tsakiri, M

dc.contributor.author	Tournas, L	en
dc.contributor.author	Tsakiri, M	en
dc.date.accessioned	2014-03-01T01:26:51Z
dc.date.available	2014-03-01T01:26:51Z
dc.date.issued	2007	en
dc.identifier.issn	0099-1112	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/18255
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-35648948875&partnerID=40&md5=494a18b61869aeb6f36788d6b5de1f9f	en
dc.subject.classification	Geography, Physical	en
dc.subject.classification	Geosciences, Multidisciplinary	en
dc.subject.classification	Remote Sensing	en
dc.subject.classification	Imaging Science & Photographic Technology	en
dc.subject.other	Image analysis	en
dc.subject.other	Real time systems	en
dc.subject.other	Remote sensing	en
dc.subject.other	Three dimensional computer graphics	en
dc.subject.other	3D input data	en
dc.subject.other	Terrestrial laser scanning	en
dc.subject.other	Photogrammetry	en
dc.subject.other	algorithm	en
dc.subject.other	cloud	en
dc.subject.other	laser	en
dc.subject.other	methodology	en
dc.subject.other	orthophoto	en
dc.subject.other	performance assessment	en
dc.title	Orthophoto generation from unorganized point clouds	en
heal.type	journalArticle	en
heal.language	English	en
heal.publicationDate	2007	en
heal.abstract	The reconstruction of realistic precise surfaces is required in many different applications. To date, terrestrial laser scanning offers 3D input data which are suitable for surface generation but are lacking in photo-realistic appearance. Texture for scanned surfaces can be provided by orthophotos generated from photographs that are acquired from almost the same viewpoint as the incident laser beam. However, the creation of an orthophoto using typical photogrammetric procedures requires the representation of the scanned surface with a triangulated mesh which cannot be created automatically in all cases. In this paper, a new method for automatic orthophoto generation from unorganized point clouds is presented. In the proposed methodology, the acquisition of accurate height information is directly derived from the point cloud without the prior requirement of a triangulated mesh. Analysis of experimental data with large height variations demonstrates the success of the algorithm which produces an orthophoto in near real-time. Issues on the performance of the method are also discussed. © 2007 American Society for Photogrammetry and Remote Sensing.	en
heal.publisher	AMER SOC PHOTOGRAMMETRY	en
heal.journalName	Photogrammetric Engineering and Remote Sensing	en
dc.identifier.isi	ISI:000250476800010	en
dc.identifier.volume	73	en
dc.identifier.issue	11	en
dc.identifier.spage	1277	en
dc.identifier.epage	1283	en